https://github.com/graph4ai/graph4nlp_literature

This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP
https://github.com/graph4ai/graph4nlp_literature
Last synced: 9 months ago
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This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP
Host: GitHub
URL: https://github.com/graph4ai/graph4nlp_literature
Owner: graph4ai
License: mit
Created: 2020-12-18T04:18:58.000Z (about 5 years ago)
Default Branch: main
Last Pushed: 2021-06-06T02:33:19.000Z (over 4 years ago)
Last Synced: 2025-03-03T23:50:03.304Z (10 months ago)
Language: Python
Size: 416 KB
Stars: 241
Watchers: 13
Forks: 32
Open Issues: 1
Metadata Files:
- Readme: README.md
- License: LICENSE
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          # graph4nlp_literature

This repo is to provide a list of literature regarding Deep Learning on Graphs for NLP

- ## Dialogue Generation

	- ### GNN for Directed Graphs

		* #### IJCAI-19

			[GSN: A Graph-Structured Network for Multi-Party Dialogues](https://www.ijcai.org/Proceedings/2019/696) 

 	- ### App-driven

		* #### IJCAI-19

			[GSN: A Graph-Structured Network for Multi-Party Dialogues](https://www.ijcai.org/Proceedings/2019/696) 

 - ## Open-domain Question Answering

	- ### GNN for Directed Graphs

		* #### EMNLP-19

			[PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text](https://www.aclweb.org/anthology/D19-1242/) 

 		* #### EMNLP-20

			[Open Domain Question Answering based on Text Enhanced Knowledge Graph with Hyperedge Infusion](https://www.aclweb.org/anthology/2020.findings-emnlp.133/) 

 		* #### EMNLP-18

			[Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text](https://www.aclweb.org/anthology/D18-1455/) 

 	- ### Graph2Seq

		* #### EMNLP-19

			[PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text](https://www.aclweb.org/anthology/D19-1242/) 

 		* #### EMNLP-20

			[Open Domain Question Answering based on Text Enhanced Knowledge Graph with Hyperedge Infusion](https://www.aclweb.org/anthology/2020.findings-emnlp.133/) 

 		* #### EMNLP-18

			[Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text](https://www.aclweb.org/anthology/D18-1455/) 

 	- ### Knowledge

		* #### EMNLP-19

			[PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text](https://www.aclweb.org/anthology/D19-1242/) 

 		* #### EMNLP-20

			[Open Domain Question Answering based on Text Enhanced Knowledge Graph with Hyperedge Infusion](https://www.aclweb.org/anthology/2020.findings-emnlp.133/) 

 		* #### EMNLP-18

			[Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text](https://www.aclweb.org/anthology/D18-1455/) 

 - ## Commonsense

	- ### Knowledge

		* #### IJCAI-18

			[Commonsense Knowledge Aware Conversation Generation with Graph Attention](https://www.ijcai.org/Proceedings/2018/643) 

 - ## Knowledge Graph Alignment

	- ### GNN for Directed Graphs

		* #### ACL-19

			[Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network](https://www.aclweb.org/anthology/P19-1304.pdf) 

 	- ### GNN for Heterogeneous Graphs

		* #### ACL-19

			[Multi-Channel Graph Neural Network for Entity Alignment](https://www.aclweb.org/anthology/P19-1140.pdf) 

 		* #### IJCAI-19

			[A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment](https://www.ijcai.org/Proceedings/2019/0574.pdf) 

 			[Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs](https://www.ijcai.org/Proceedings/2019/0733.pdf) 

 	- ### GNN for Undirected Graphs

		* #### AAAI-20

			[Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation](https://ojs.aaai.org//index.php/AAAI/article/view/5354) 

 			[Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment](https://ojs.aaai.org//index.php/AAAI/article/view/6476) 

 		* #### EMNLP-19

			[Aligning Cross-Lingual Entities with Multi-Aspect Information](https://www.aclweb.org/anthology/D19-1451/) 

 			[Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model](https://www.aclweb.org/anthology/D19-1274.pdf) 

 			[Jointly Learning Entity and Relation Representations for Entity Alignment](https://www.aclweb.org/anthology/D19-1023/) 

 		* #### EMNLP-20

			[Knowledge Graph Alignment with Entity-Pair Embedding](https://www.aclweb.org/anthology/2020.emnlp-main.130.pdf) 

 		* #### EMNLP-18

			[Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks](https://www.aclweb.org/anthology/D18-1032/) 

 	- ### Knowledge

		* #### AAAI-20

			[Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation](https://ojs.aaai.org//index.php/AAAI/article/view/5354) 

 			[Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment](https://ojs.aaai.org//index.php/AAAI/article/view/6476) 

 		* #### ACL-19

			[Multi-Channel Graph Neural Network for Entity Alignment](https://www.aclweb.org/anthology/P19-1140.pdf) 

 			[Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network](https://www.aclweb.org/anthology/P19-1304.pdf) 

 		* #### EMNLP-19

			[Aligning Cross-Lingual Entities with Multi-Aspect Information](https://www.aclweb.org/anthology/D19-1451/) 

 			[Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model](https://www.aclweb.org/anthology/D19-1274.pdf) 

 			[Jointly Learning Entity and Relation Representations for Entity Alignment](https://www.aclweb.org/anthology/D19-1023/) 

 		* #### EMNLP-20

			[Knowledge Graph Alignment with Entity-Pair Embedding](https://www.aclweb.org/anthology/2020.emnlp-main.130.pdf) 

 		* #### IJCAI-19

			[A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment](https://www.ijcai.org/Proceedings/2019/0574.pdf) 

 			[Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs](https://www.ijcai.org/Proceedings/2019/0733.pdf) 

 		* #### EMNLP-18

			[Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks](https://www.aclweb.org/anthology/D18-1032/) 

 - ## Named-entity Recognition

	- ### Node Embedding Based Refined

		* #### NAACL-19

			[A General Framework for Information Extraction using Dynamic Span Graphs](https://www.aclweb.org/anthology/N19-1308.pdf) 

 	- ### Coreference

		* #### NAACL-19

			[A General Framework for Information Extraction using Dynamic Span Graphs](https://www.aclweb.org/anthology/N19-1308.pdf) 

 	- ### Dependency

		* #### ACL-19

			[GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction](https://www.aclweb.org/anthology/P19-1136.pdf) 

 	- ### GNN for Directed Graphs

		* #### ACL-20

			[Bipartite Flat-Graph Network for Nested Named Entity Recognition](https://www.aclweb.org/anthology/2020.acl-main.571.pdf) 

 		* #### ACL-19

			[A Neural Multi-digraph Model for Chinese NER with Gazetteers](https://www.aclweb.org/anthology/P19-1141.pdf) 

 	- ### App-driven

		* #### ACL-20

			[Bipartite Flat-Graph Network for Nested Named Entity Recognition](https://www.aclweb.org/anthology/2020.acl-main.571.pdf) 

 		* #### ACL-19

			[A Neural Multi-digraph Model for Chinese NER with Gazetteers](https://www.aclweb.org/anthology/P19-1141.pdf) 

 		* #### EMNLP-19

			[A Lexicon-Based Graph Neural Network for Chinese NER](https://www.aclweb.org/anthology/D19-1096.pdf) 

 	- ### GNN for Heterogeneous Graphs

		* #### ACL-19

			[GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction](https://www.aclweb.org/anthology/P19-1136.pdf) 

 		* #### EMNLP-19

			[A Lexicon-Based Graph Neural Network for Chinese NER](https://www.aclweb.org/anthology/D19-1096.pdf) 

 	- ### GNN for Undirected Graphs

		* #### EMNLP-19

			[Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network](https://www.aclweb.org/anthology/D19-1396/) 

 	- ### Knowledge

		* #### EMNLP-19

			[Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network](https://www.aclweb.org/anthology/D19-1396/) 

 - ## AMR2Text

	- ### Graph2Graph

		* #### EMNLP-20

			[Online Back-Parsing for AMR-to-Text Generation](https://www.aclweb.org/anthology/2020.emnlp-main.92/) 

 	- ### Dependency

		* #### ACL-18

			[Graph-to-Sequence Learning using Gated Graph Neural Networks](https://www.aclweb.org/anthology/P18-1026/) 

 	- ### GNN for Directed Graphs

		* #### AAAI-20

			[Graph Transformer for Graph-to-Sequence Learning](https://ojs.aaai.org//index.php/AAAI/article/view/6243) 

 		* #### COLING-20

			[Generalized Shortest-Paths Encoders for AMR-to-Text Generation](https://www.aclweb.org/anthology/2020.coling-main.181.pdf) 

 		* #### ACL-20

			[Structural Information Preserving for Graph-to-Text Generation](https://www.aclweb.org/anthology/2020.acl-main.712/) 

 			[Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks](https://www.aclweb.org/anthology/2020.acl-main.67/) 

 		* #### ACL-19

			[Modeling Graph Structure in Transformer for Better AMR-to-Text Generation](https://www.aclweb.org/anthology/D19-1548/) 

 		* #### TACL-20

			[AMR-To-Text Generation with Graph Transformer](https://www.aclweb.org/anthology/2020.tacl-1.2.pdf) 

 		* #### EMNLP-19

			[Enhancing AMR-to-Text Generation with Dual Graph Representations](https://www.aclweb.org/anthology/D19-1314/) 

 		* #### EMNLP-20

			[Online Back-Parsing for AMR-to-Text Generation](https://www.aclweb.org/anthology/2020.emnlp-main.92/) 

 			[Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation](https://www.aclweb.org/anthology/2020.emnlp-main.169/) 

 		* #### ACL-18

			[Graph-to-Sequence Learning using Gated Graph Neural Networks](https://www.aclweb.org/anthology/P18-1026/) 

 			[A Graph-to-Sequence Model for AMR-to-Text Generation](https://www.aclweb.org/anthology/P18-1150/) 

 		* #### NAACL-19

			[Structural Neural Encoders for AMR-to-text Generation](https://www.aclweb.org/anthology/N19-1366/) 

 		* #### IJCAI-20

			[Better AMR-To-Text Generation with Graph Structure Reconstruction](https://www.ijcai.org/Proceedings/2020/0542.pdf) 

 		* #### TACL-19

			[Semantic neural machine translation using AMR](https://www.aclweb.org/anthology/Q19-1002.pdf) 

 	- ### AMR

		* #### AAAI-20

			[Graph Transformer for Graph-to-Sequence Learning](https://ojs.aaai.org//index.php/AAAI/article/view/6243) 

 		* #### COLING-20

			[Generalized Shortest-Paths Encoders for AMR-to-Text Generation](https://www.aclweb.org/anthology/2020.coling-main.181.pdf) 

 		* #### ACL-20

			[Heterogeneous Graph Transformer for Graph-to-Sequence Learning](https://www.aclweb.org/anthology/2020.acl-main.640.pdf) 

 			[Structural Information Preserving for Graph-to-Text Generation](https://www.aclweb.org/anthology/2020.acl-main.712/) 

 			[Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks](https://www.aclweb.org/anthology/2020.acl-main.67/) 

 		* #### ACL-19

			[Modeling Graph Structure in Transformer for Better AMR-to-Text Generation](https://www.aclweb.org/anthology/D19-1548/) 

 		* #### TACL-20

			[AMR-To-Text Generation with Graph Transformer](https://www.aclweb.org/anthology/2020.tacl-1.2.pdf) 

 		* #### EMNLP-19

			[Enhancing AMR-to-Text Generation with Dual Graph Representations](https://www.aclweb.org/anthology/D19-1314/) 

 		* #### EMNLP-20

			[Online Back-Parsing for AMR-to-Text Generation](https://www.aclweb.org/anthology/2020.emnlp-main.92/) 

 			[Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation](https://www.aclweb.org/anthology/2020.emnlp-main.169/) 

 		* #### ACL-18

			[Graph-to-Sequence Learning using Gated Graph Neural Networks](https://www.aclweb.org/anthology/P18-1026/) 

 			[A Graph-to-Sequence Model for AMR-to-Text Generation](https://www.aclweb.org/anthology/P18-1150/) 

 		* #### NAACL-19

			[Structural Neural Encoders for AMR-to-text Generation](https://www.aclweb.org/anthology/N19-1366/) 

 		* #### IJCAI-20

			[Better AMR-To-Text Generation with Graph Structure Reconstruction](https://www.ijcai.org/Proceedings/2020/0542.pdf) 

 		* #### TACL-19

			[Semantic neural machine translation using AMR](https://www.aclweb.org/anthology/Q19-1002.pdf) 

 			[Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning](https://www.aclweb.org/anthology/Q19-1019/) 

 	- ### GNN for Heterogeneous Graphs

		* #### ACL-20

			[Heterogeneous Graph Transformer for Graph-to-Sequence Learning](https://www.aclweb.org/anthology/2020.acl-main.640.pdf) 

 	- ### Graph2Seq

		* #### AAAI-20

			[Graph Transformer for Graph-to-Sequence Learning](https://ojs.aaai.org//index.php/AAAI/article/view/6243) 

 		* #### COLING-20

			[Generalized Shortest-Paths Encoders for AMR-to-Text Generation](https://www.aclweb.org/anthology/2020.coling-main.181.pdf) 

 		* #### ACL-20

			[Heterogeneous Graph Transformer for Graph-to-Sequence Learning](https://www.aclweb.org/anthology/2020.acl-main.640.pdf) 

 			[Structural Information Preserving for Graph-to-Text Generation](https://www.aclweb.org/anthology/2020.acl-main.712/) 

 			[Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks](https://www.aclweb.org/anthology/2020.acl-main.67/) 

 		* #### ACL-19

			[Modeling Graph Structure in Transformer for Better AMR-to-Text Generation](https://www.aclweb.org/anthology/D19-1548/) 

 		* #### TACL-20

			[AMR-To-Text Generation with Graph Transformer](https://www.aclweb.org/anthology/2020.tacl-1.2.pdf) 

 		* #### EMNLP-19

			[Enhancing AMR-to-Text Generation with Dual Graph Representations](https://www.aclweb.org/anthology/D19-1314/) 

 		* #### EMNLP-20

			[Online Back-Parsing for AMR-to-Text Generation](https://www.aclweb.org/anthology/2020.emnlp-main.92/) 

 			[Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation](https://www.aclweb.org/anthology/2020.emnlp-main.169/) 

 		* #### ACL-18

			[Graph-to-Sequence Learning using Gated Graph Neural Networks](https://www.aclweb.org/anthology/P18-1026/) 

 			[A Graph-to-Sequence Model for AMR-to-Text Generation](https://www.aclweb.org/anthology/P18-1150/) 

 		* #### NAACL-19

			[Structural Neural Encoders for AMR-to-text Generation](https://www.aclweb.org/anthology/N19-1366/) 

 		* #### IJCAI-20

			[Better AMR-To-Text Generation with Graph Structure Reconstruction](https://www.ijcai.org/Proceedings/2020/0542.pdf) 

 		* #### TACL-19

			[Semantic neural machine translation using AMR](https://www.aclweb.org/anthology/Q19-1002.pdf) 

 			[Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning](https://www.aclweb.org/anthology/Q19-1019/) 

 	- ### GNN for Undirected Graphs

		* #### TACL-19

			[Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning](https://www.aclweb.org/anthology/Q19-1019/) 

 	- ### Knowledge

		* #### ACL-20

			[Structural Information Preserving for Graph-to-Text Generation](https://www.aclweb.org/anthology/2020.acl-main.712/) 

 - ## Math Word Problem

	- ### Dependency

		* #### EMNLP-20

			[Graph-to-Tree Neural Networksfor Learning Structured Input-Output Translationwith Applications to Semantic Parsing and Math Word Problem](https://www.aclweb.org/anthology/2020.findings-emnlp.255/) 

 	- ### GNN for Directed Graphs

		* #### EMNLP-20

			[Graph-to-Tree Neural Networksfor Learning Structured Input-Output Translationwith Applications to Semantic Parsing and Math Word Problem](https://www.aclweb.org/anthology/2020.findings-emnlp.255/) 

 	- ### App-driven

		* #### ACL-20

			[Graph-to-Tree Learning for Solving Math Word Problems](https://www.aclweb.org/anthology/2020.acl-main.362/) 

 			[Premise Selection in Natural Language Mathematical Texts](https://www.aclweb.org/anthology/2020.acl-main.657/) 

 		* #### ICLR-20

			[Mathematical Reasoning in Latent Space](https://openreview.net/forum?id=Ske31kBtPr) 

 	- ### GNN for Heterogeneous Graphs

		* #### EMNLP-20

			[Graph-to-Tree Neural Networksfor Learning Structured Input-Output Translationwith Applications to Semantic Parsing and Math Word Problem](https://www.aclweb.org/anthology/2020.findings-emnlp.255/) 

 	- ### Constituency

		* #### EMNLP-20

			[Graph-to-Tree Neural Networksfor Learning Structured Input-Output Translationwith Applications to Semantic Parsing and Math Word Problem](https://www.aclweb.org/anthology/2020.findings-emnlp.255/) 

 	- ### Knowledge

		* #### ACL-20

			[A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving](https://www.aclweb.org/anthology/2020.emnlp-main.579/) 

 	- ### Graph2Tree

		* #### ACL-20

			[A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving](https://www.aclweb.org/anthology/2020.emnlp-main.579/) 

 			[Graph-to-Tree Learning for Solving Math Word Problems](https://www.aclweb.org/anthology/2020.acl-main.362/) 

 		* #### EMNLP-20

			[Graph-to-Tree Neural Networksfor Learning Structured Input-Output Translationwith Applications to Semantic Parsing and Math Word Problem](https://www.aclweb.org/anthology/2020.findings-emnlp.255/) 

 - ## Topic Modeling

	- ### Co-occurrence

		* #### EMNLP-18

			[GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model](https://www.aclweb.org/anthology/D18-1495) 

 	- ### GNN for Directed Graphs

		* #### WWW-20

			[Graph Attention Topic Modeling Network](http://doi.org/10.1145/3366423.3380102) 

 		* #### EMNLP-18

			[GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model](https://www.aclweb.org/anthology/D18-1495) 

 	- ### GNN on Directed Graphs

		* #### EMNLP-20

			[Neural Topic Modeling by Incorporating Document Relationship Graph](https://www.aclweb.org/anthology/2020.emnlp-main.310) 

 	- ### Topic

		* #### KDD-20

			[Graph Structural-topic Neural Network](http://doi.org/10.1145/3394486.3403150) 

 		* #### ACL-20

			[Tree-Structured Neural Topic Model](https://www.aclweb.org/anthology/2020.acl-main.73/) 

 		* #### EMNLP-20

			[Neural Topic Modeling by Incorporating Document Relationship Graph](https://www.aclweb.org/anthology/2020.emnlp-main.310) 

 - ## Dialogue State Tracking

	- ### GNN for Directed Graphs

		* #### COLING-19

			[Structured Dialogue Policy with Graph Neural Networks](https://www.aclweb.org/anthology/C18-1107/) 

 	- ### App-driven

		* #### AAAI-20

			[Schema-Guided Multi-Domain Dialogue State Tracking with Graph Attention Neural Networks](https://ojs.aaai.org//index.php/AAAI/article/view/6250) 

 	- ### GNN for Heterogeneous Graphs

		* #### AAAI-20

			[Schema-Guided Multi-Domain Dialogue State Tracking with Graph Attention Neural Networks](https://ojs.aaai.org//index.php/AAAI/article/view/6250) 

 	- ### Node Embedding Based

		* #### COLING-19

			[Structured Dialogue Policy with Graph Neural Networks](https://www.aclweb.org/anthology/C18-1107/) 

 - ## Parsing

	- ### GNN for Directed Graphs

		* #### NeurIPS-20

			[Strongly Incremental Constituency Parsing with Graph Neural Networks](https://proceedings.neurips.cc/paper/2020/hash/f7177163c833dff4b38fc8d2872f1ec6-Abstract.html) 

 	- ### Constituency

		* #### NeurIPS-20

			[Strongly Incremental Constituency Parsing with Graph Neural Networks](https://proceedings.neurips.cc/paper/2020/hash/f7177163c833dff4b38fc8d2872f1ec6-Abstract.html) 

 - ## Entity Typing in KB

	- ### GNN for Undirected Graphs

		* #### EMNLP-19

			[Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks](https://www.aclweb.org/anthology/D19-1502.pdf) 

 	- ### Knowledge

		* #### EMNLP-19

			[Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks](https://www.aclweb.org/anthology/D19-1502.pdf) 

 - ## Dependency Parsing

	- ### Dependency

		* #### ACL-20

			[Neural Reranking for Dependency Parsing: An Evaluation](https://www.aclweb.org/anthology/2020.acl-main.379/) 

 	- ### GNN for Directed Graphs

		* #### ACL-20

			[Neural Reranking for Dependency Parsing: An Evaluation](https://www.aclweb.org/anthology/2020.acl-main.379/) 

 	- ### App-driven

		* #### ACL-19

			[Graph-based Dependency Parsing with Graph Neural Networks](https://www.aclweb.org/anthology/P19-1237/) 

 	- ### GNN for Undirected Graphs

		* #### ACL-19

			[Graph-based Dependency Parsing with Graph Neural Networks](https://www.aclweb.org/anthology/P19-1237/) 

 	- ### Graph2Tree

		* #### ACL-19

			[Graph-based Dependency Parsing with Graph Neural Networks](https://www.aclweb.org/anthology/P19-1237/) 

 - ## Text Matching

	- ### GNN for Directed Graphs

		* #### ACL-20

			[Neural Graph Matching Networks for Chinese Short Text Matching](https://www.aclweb.org/anthology/2020.acl-main.547/) 

 	- ### App-driven

		* #### ACL-20

			[Neural Graph Matching Networks for Chinese Short Text Matching](https://www.aclweb.org/anthology/2020.acl-main.547/) 

 			[Matching Article Pairs with Graphical Decomposition and Convolutions](https://arxiv.org/abs/1802.07459) 

 	- ### GNN for Undirected Graphs

		* #### ACL-20

			[Matching Article Pairs with Graphical Decomposition and Convolutions](https://arxiv.org/abs/1802.07459) 

 - ## Question Generation

	- ### Dependency

		* #### WWW-19

			[Learning to Generate Questions by Learning What not to Generate](https://dl.acm.org/doi/10.1145/3308558.3313737) 

 		* #### COLING-20

			[Answer-driven Deep Question Generation based on Reinforcement Learning](https://www.aclweb.org/anthology/2020.coling-main.452/) 

 		* #### ICLR-20

			[Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation](https://openreview.net/pdf?id=HygnDhEtvr) 

 	- ### GNN for Directed Graphs

		* #### ICLR-20

			[Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation](https://openreview.net/pdf?id=HygnDhEtvr) 

 	- ### Node Embedding Based

		* #### ICLR-20

			[Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation](https://openreview.net/pdf?id=HygnDhEtvr) 

 	- ### Graph2Seq

		* #### COLING-20

			[Answer-driven Deep Question Generation based on Reinforcement Learning](https://www.aclweb.org/anthology/2020.coling-main.452/) 

 		* #### ICLR-20

			[Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation](https://openreview.net/pdf?id=HygnDhEtvr) 

 	- ### GNN for Undirected Graphs

		* #### WWW-19

			[Learning to Generate Questions by Learning What not to Generate](https://dl.acm.org/doi/10.1145/3308558.3313737) 

 		* #### COLING-20

			[Answer-driven Deep Question Generation based on Reinforcement Learning](https://www.aclweb.org/anthology/2020.coling-main.452/) 

 - ## Next Utterance Prediction

	- ### App-driven

		* #### AAAI-21

			[A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training](https://arxiv.org/abs/2012.11099) 

 	- ### GNN for Undirected Graphs

		* #### AAAI-21

			[A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training](https://arxiv.org/abs/2012.11099) 

 - ## Code Summarization

	- ### GNN for Directed Graphs

		* #### ArXiv-20

			[Improved code summarization via a graph neural network](https://arxiv.org/pdf/2004.02843.pdf) 

 		* #### ICLR-18

			[learning to represent programs with graphs](https://openreview.net/pdf?id=BJOFETxR-) 

 		* #### ICLR-19

			[Structured Neural Summarization](https://openreview.net/pdf?id=H1ersoRqtm) 

 	- ### App-driven

		* #### ArXiv-20

			[Improved code summarization via a graph neural network](https://arxiv.org/pdf/2004.02843.pdf) 

 		* #### ICLR-18

			[learning to represent programs with graphs](https://openreview.net/pdf?id=BJOFETxR-) 

 		* #### ICLR-19

			[Structured Neural Summarization](https://openreview.net/pdf?id=H1ersoRqtm) 

 	- ### Graph2Seq

		* #### ArXiv-20

			[Improved code summarization via a graph neural network](https://arxiv.org/pdf/2004.02843.pdf) 

 		* #### ICLR-18

			[learning to represent programs with graphs](https://openreview.net/pdf?id=BJOFETxR-) 

 		* #### ICLR-19

			[Structured Neural Summarization](https://openreview.net/pdf?id=H1ersoRqtm) 

 - ## Event Detection

	- ### Position

		* #### RANLP-17

			[Graph-based Event Extraction from Twitter](https://www.aclweb.org/anthology/R17-1031/) 

 	- ### Co-occurrence

		* #### RANLP-17

			[Graph-based Event Extraction from Twitter](https://www.aclweb.org/anthology/R17-1031/) 

 	- ### Dependency

		* #### AAAI-18

			[Graph Convolutional Networks with Argument-Aware Pooling for Event Detection](https://nyuscholars.nyu.edu/en/publications/graph-convolutional-networks-with-argument-aware-pooling-for-even) 

 			[Graph Convolutional Networks with Argument-Aware Pooling for Event Detection](https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16329/16155) 

 		* #### EMNLP-19

			[Event Detection with Multi-Order Graph Convolution and Aggregated Attention](https://www.aclweb.org/anthology/D19-1582/) 

 		* #### EMNLP-20

			[Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation](https://www.aclweb.org/anthology/2020.findings-emnlp.211/) 

 		* #### EMNLP-18

			[Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation](https://www.aclweb.org/anthology/D18-1156/) 

 	- ### GNN for Directed Graphs

		* #### ACL-19

			[Encoding Social Information with Graph Convolutional Networks for Political Perspective Detection in News Media](https://www.aclweb.org/anthology/P19-1247.pdf) 

 		* #### AAAI-18

			[Graph Convolutional Networks with Argument-Aware Pooling for Event Detection](https://nyuscholars.nyu.edu/en/publications/graph-convolutional-networks-with-argument-aware-pooling-for-even) 

 			[Graph Convolutional Networks with Argument-Aware Pooling for Event Detection](https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16329/16155) 

 		* #### EMNLP-19

			[Event Detection with Multi-Order Graph Convolution and Aggregated Attention](https://www.aclweb.org/anthology/D19-1582/) 

 		* #### EMNLP-20

			[Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation](https://www.aclweb.org/anthology/2020.findings-emnlp.211/) 

 			[Event Detection: Gate Diversity and Syntactic Importance Scores for Graph Convolution Neural Networks](https://www.aclweb.org/anthology/2020.emnlp-main.583/) 

 		* #### EMNLP-18

			[Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation](https://www.aclweb.org/anthology/D18-1156/) 

 	- ### App-driven

		* #### ACL-19

			[Encoding Social Information with Graph Convolutional Networks for Political Perspective Detection in News Media](https://www.aclweb.org/anthology/P19-1247.pdf) 

 	- ### Knowledge

		* #### EMNLP-20

			[Event Detection: Gate Diversity and Syntactic Importance Scores for Graph Convolution Neural Networks](https://www.aclweb.org/anthology/2020.emnlp-main.583/) 

 - ## Natural Language Inference

	- ### Knowledge

		* #### AAAI-19

			[Improving Natural Language Inference Using External Knowledgein the Science Questions Domain](https://ojs.aaai.org//index.php/AAAI/article/view/4705) 

 		* #### AAAI-20

			[Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks](https://www.semanticscholar.org/paper/Infusing-Knowledge-into-the-Textual-Entailment-Task-Kapanipathi-Thost/4f8e1a4247ce06a15760fc2692c6849601d41b6f) 

 		* #### EMNLP-19

			[KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning](https://www.aclweb.org/anthology/D19-1282/) 

 - ## Semantic Role Labeling

	- ### Dependency

		* #### ArXiv-20

			[Cross-Lingual Semantic Role Labeling With Model Transfer](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9165903) 

 			[Semantic Role Labeling with Heterogeneous Syntactic Knowledge](https://www.aclweb.org/anthology/2020.coling-main.266.pdf) 

 		* #### ACL-20

			[Syntax-Aware Opinion Role Labeling with Dependency Graph Convolutional Networks](https://www.aclweb.org/anthology/2020.acl-main.297.pdf) 

 		* #### EMNLP-17

			[Encoding Sentences with Graph Convolutional Networks](https://www.aclweb.org/anthology/D17-1159.pdf) 

 		* #### EMNLP-18

			[A Unified Syntax-aware Framework for Semantic Role Labeling](https://www.aclweb.org/anthology/D18-1262.pdf) 

 	- ### GNN for Directed Graphs

		* #### ArXiv-20

			[Semantic Role Labeling with Heterogeneous Syntactic Knowledge](https://www.aclweb.org/anthology/2020.coling-main.266.pdf) 

 		* #### ACL-20

			[Syntax-Aware Opinion Role Labeling with Dependency Graph Convolutional Networks](https://www.aclweb.org/anthology/2020.acl-main.297.pdf) 

 		* #### EMNLP-20

			[Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling](https://www.aclweb.org/anthology/2020.emnlp-main.322.pdf) 

 		* #### EMNLP-17

			[Encoding Sentences with Graph Convolutional Networks](https://www.aclweb.org/anthology/D17-1159.pdf) 

 		* #### EMNLP-18

			[A Unified Syntax-aware Framework for Semantic Role Labeling](https://www.aclweb.org/anthology/D18-1262.pdf) 

 	- ### GNN for Heterogeneous Graphs

		* #### ArXiv-20

			[Cross-Lingual Semantic Role Labeling With Model Transfer](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9165903) 

 			[Semantic Role Labeling with Heterogeneous Syntactic Knowledge](https://www.aclweb.org/anthology/2020.coling-main.266.pdf) 

 		* #### EMNLP-20

			[Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling](https://www.aclweb.org/anthology/2020.emnlp-main.322.pdf) 

 		* #### EMNLP-17

			[Encoding Sentences with Graph Convolutional Networks](https://www.aclweb.org/anthology/D17-1159.pdf) 

 		* #### EMNLP-18

			[A Unified Syntax-aware Framework for Semantic Role Labeling](https://www.aclweb.org/anthology/D18-1262.pdf) 

 	- ### Constituency

		* #### EMNLP-20

			[Graph Convolutions over Constituent Trees for Syntax-Aware Semantic Role Labeling](https://www.aclweb.org/anthology/2020.emnlp-main.322.pdf) 

 	- ### GNN for Undirected Graphs

		* #### ArXiv-20

			[Cross-Lingual Semantic Role Labeling With Model Transfer](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9165903) 

 - ## Fact Verification

	- ### App-driven

		* #### ACL-19

			[GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification](https://www.aclweb.org/anthology/P19-1085.pdf) 

 	- ### GNN for Undirected Graphs

		* #### ACL-19

			[GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification](https://www.aclweb.org/anthology/P19-1085.pdf) 

 - ## AMR Parsing

	- ### Graph2Graph

		* #### ACL-20

			[AMR Parsing with Latent Structural Information](https://www.aclweb.org/anthology/2020.acl-main.397/) 

 		* #### EMNLP-20

			[Online Back-Parsing for AMR-to-Text Generation](https://www.aclweb.org/anthology/2020.emnlp-main.92/) 

 	- ### Dependency

		* #### ACL-20

			[AMR Parsing with Latent Structural Information](https://www.aclweb.org/anthology/2020.acl-main.397/) 

 	- ### GNN for Directed Graphs

		* #### ACL-20

			[AMR Parsing with Latent Structural Information](https://www.aclweb.org/anthology/2020.acl-main.397/) 

 		* #### EMNLP-20

			[Online Back-Parsing for AMR-to-Text Generation](https://www.aclweb.org/anthology/2020.emnlp-main.92/) 

 	- ### App-driven

		* #### ACL-20

			[AMR Parsing via Graph_x001C_Sequence Iterative Inference(to be deleted)](https://www.aclweb.org/anthology/2020.acl-main.119/) 

 		* #### ACL-19

			[AMR Parsing as Sequence-to-Graph Transduction(to be deleted)](https://www.aclweb.org/anthology/P19-1009/) 

 		* #### ACL-18

			[AMR Parsing as Graph Prediction with Latent Alignment(to be deleted)](https://www.aclweb.org/anthology/P18-1037/) 

 	- ### AMR

		* #### EMNLP-20

			[Online Back-Parsing for AMR-to-Text Generation](https://www.aclweb.org/anthology/2020.emnlp-main.92/) 

 	- ### Graph2Seq

		* #### EMNLP-20

			[Online Back-Parsing for AMR-to-Text Generation](https://www.aclweb.org/anthology/2020.emnlp-main.92/) 

 - ## Sentiment Analysis

	- ### Dependency

		* #### ACL-20

			[Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification](https://www.aclweb.org/anthology/2020.acl-main.588/) 

 			[Relational Graph Attention Network for Aspect-based Sentiment Analysis](https://www.aclweb.org/anthology/2020.acl-main.295) 

 		* #### EMNLP-19

			[Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks](https://www.aclweb.org/anthology/D19-1549) 

 			[Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks](https://www.aclweb.org/anthology/D19-1464) 

 		* #### EMNLP-20

			[Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation](https://www.aclweb.org/anthology/2020.findings-emnlp.407) 

 	- ### GNN for Directed Graphs

		* #### ACL-20

			[KinGDOM: Knowledge-Guided DOMain Adaptation for Sentiment Analysis](https://www.aclweb.org/anthology/2020.acl-main.292/) 

 			[Aspect Sentiment Classification with Document-level Sentiment Preference Modeling](https://www.aclweb.org/anthology/2020.acl-main.338/) 

 			[Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification](https://www.aclweb.org/anthology/2020.acl-main.588/) 

 			[Relational Graph Attention Network for Aspect-based Sentiment Analysis](https://www.aclweb.org/anthology/2020.acl-main.295) 

 		* #### EMNLP-19

			[Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks](https://www.aclweb.org/anthology/D19-1549) 

 	- ### GNN for undirected graphs

		* #### EMNLP-20

			[Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis](https://www.aclweb.org/anthology/2020.emnlp-main.286) 

 	- ### Similarity

		* #### ACL-20

			[Aspect Sentiment Classification with Document-level Sentiment Preference Modeling](https://www.aclweb.org/anthology/2020.acl-main.338/) 

 		* #### EMNLP-20

			[Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis](https://www.aclweb.org/anthology/2020.emnlp-main.286/) 

 			[Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis](https://www.aclweb.org/anthology/2020.emnlp-main.286) 

 	- ### GNN for Undirected Graphs

		* #### EMNLP-19

			[Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks](https://www.aclweb.org/anthology/D19-1464) 

 		* #### EMNLP-20

			[Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation](https://www.aclweb.org/anthology/2020.findings-emnlp.407) 

 	- ### GNN on Undirected Graphs

		* #### EMNLP-20

			[Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis](https://www.aclweb.org/anthology/2020.emnlp-main.286/) 

 	- ### Knowledge

		* #### ACL-20

			[KinGDOM: Knowledge-Guided DOMain Adaptation for Sentiment Analysis](https://www.aclweb.org/anthology/2020.acl-main.292/) 

 - ## Semantic Parsing

	- ### Dependency

		* #### EMNLP-20

			[Graph-to-Tree Neural Networksfor Learning Structured Input-Output Translationwith Applications to Semantic Parsing and Math Word Problem](https://www.aclweb.org/anthology/2020.findings-emnlp.255/) 

 		* #### EMNLP-18

			[Exploiting Rich Syntactic Information for Semantic Parsingwith Graph-to-Sequence Mode](https://www.aclweb.org/anthology/D18-1110/) 

 	- ### GNN for Directed Graphs

		* #### ACL-19

			[Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing](https://www.aclweb.org/anthology/P19-1448/) 

 		* #### EMNLP-20

			[Graph-to-Tree Neural Networksfor Learning Structured Input-Output Translationwith Applications to Semantic Parsing and Math Word Problem](https://www.aclweb.org/anthology/2020.findings-emnlp.255/) 

 	- ### App-driven

		* #### AAAI-20

			[Graph-Based Transformer with Cross-Candidate Verification for Semantic Parsing](https://ojs.aaai.org//index.php/AAAI/article/view/6408) 

 		* #### ACL-19

			[Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing](https://www.aclweb.org/anthology/P19-1448/) 

 		* #### EMNLP-19

			[Global Reasoning over Database Structures for Text-to-SQL Parsing](https://www.aclweb.org/anthology/D19-1378/) 

 	- ### GNN for Heterogeneous Graphs

		* #### EMNLP-20

			[Graph-to-Tree Neural Networksfor Learning Structured Input-Output Translationwith Applications to Semantic Parsing and Math Word Problem](https://www.aclweb.org/anthology/2020.findings-emnlp.255/) 

 		* #### EMNLP-18

			[Exploiting Rich Syntactic Information for Semantic Parsingwith Graph-to-Sequence Mode](https://www.aclweb.org/anthology/D18-1110/) 

 	- ### Constituency

		* #### EMNLP-20

			[Graph-to-Tree Neural Networksfor Learning Structured Input-Output Translationwith Applications to Semantic Parsing and Math Word Problem](https://www.aclweb.org/anthology/2020.findings-emnlp.255/) 

 		* #### EMNLP-18

			[Exploiting Rich Syntactic Information for Semantic Parsingwith Graph-to-Sequence Mode](https://www.aclweb.org/anthology/D18-1110/) 

 	- ### Graph2Seq

		* #### EMNLP-18

			[Exploiting Rich Syntactic Information for Semantic Parsingwith Graph-to-Sequence Mode](https://www.aclweb.org/anthology/D18-1110/) 

 	- ### GNN for Undirected Graphs

		* #### EMNLP-18

			[Exploiting Rich Syntactic Information for Semantic Parsingwith Graph-to-Sequence Mode](https://www.aclweb.org/anthology/D18-1110/) 

 	- ### Graph2Tree

		* #### EMNLP-20

			[Graph-to-Tree Neural Networksfor Learning Structured Input-Output Translationwith Applications to Semantic Parsing and Math Word Problem](https://www.aclweb.org/anthology/2020.findings-emnlp.255/) 

 - ## Knowledge Graph Embedding

	- ### GNN for Directed Graphs

		* #### ACL-19

			[Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs](https://www.aclweb.org/anthology/P19-1466.pdf) 

 	- ### GNN for Heterogeneous Graphs

		* #### ACL-20

			[ReInceptionE: Relation-Aware Inception Network with Joint Local-Global Structural Information for Knowledge Graph Embedding](https://www.aclweb.org/anthology/2020.acl-main.526.pdf) 

 		* #### EMNLP-19

			[CaRe: Open Knowledge Graph Embeddings](https://www.aclweb.org/anthology/D19-1036.pdf) 

 		* #### IJCAI-19

			[A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment](https://www.ijcai.org/Proceedings/2019/0574.pdf) 

 		* #### NAACL-19

			[Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks](https://www.aclweb.org/anthology/N19-1306.pdf) 

 	- ### GNN for Undirected Graphs

		* #### ACL-19

			[A2N: Attending to Neighbors for Knowledge Graph Inference](https://www.aclweb.org/anthology/P19-1431.pdf) 

 	- ### Knowledge

		* #### AAAI-19

			[Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding](https://ojs.aaai.org//index.php/AAAI/article/view/4698) 

 		* #### ACL-20

			[ReInceptionE: Relation-Aware Inception Network with Joint Local-Global Structural Information for Knowledge Graph Embedding](https://www.aclweb.org/anthology/2020.acl-main.526.pdf) 

 		* #### ACL-19

			[Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs](https://www.aclweb.org/anthology/P19-1466.pdf) 

 			[A2N: Attending to Neighbors for Knowledge Graph Inference](https://www.aclweb.org/anthology/P19-1431.pdf) 

 		* #### EMNLP-19

			[CaRe: Open Knowledge Graph Embeddings](https://www.aclweb.org/anthology/D19-1036.pdf) 

 		* #### IJCAI-19

			[A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment](https://www.ijcai.org/Proceedings/2019/0574.pdf) 

 		* #### NAACL-19

			[Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks](https://www.aclweb.org/anthology/N19-1306.pdf) 

 - ## Knowledge Base Completion

	- ### GNN for Directed Graphs

		* #### ACL-19

			[Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs](https://www.aclweb.org/anthology/P19-1466.pdf) 

 			[Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs](https://www.aclweb.org/anthology/P19-1466.pdf) 

 		* #### ICLR-20

			[DYNAMICALLY PRUNED MESSAGE PASSING NETWORKS FOR LARGE-SCALE KNOWLEDGE GRAPH

REASONING](https://openreview.net/pdf?id=rkeuAhVKvB) 

 	- ### GNN for Heterogeneous Graphs

		* #### AAAI-20

			[Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion](https://ojs.aaai.org//index.php/AAAI/article/view/6508) 

 		* #### ESWC 2018

			[Modeling Relational Data with Graph Convolutional Networks](https://link.springer.com/chapter/10.1007/978-3-319-93417-4_38) 

 		* #### ACL-19

			[Multi-Channel Graph Neural Network for Entity Alignment](https://www.aclweb.org/anthology/P19-1140.pdf) 

 		* #### ICML-20

			[Inductive Relation Prediction by Subgraph Reasoning](http://proceedings.mlr.press/v119/teru20a/teru20a.pdf) 

 		* #### EMNLP-20

			[TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion](https://www.aclweb.org/anthology/2020.emnlp-main.462.pdf) 

 		* #### IJCAI-19

			[Robust Embedding with Multi-Level Structures for Link Prediction](https://www.ijcai.org/Proceedings/2019/0728.pdf) 

 	- ### GNN for Undirected Graphs

		* #### AAAI-19

			[End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion](https://ojs.aaai.org//index.php/AAAI/article/view/4164) 

 		* #### AAAI-20

			[Commonsense Knowledge Base Completion with Structural and Semantic Context](https://ojs.aaai.org/index.php/AAAI/article/download/5684/5540) 

 		* #### ACL-19

			[A2N: Attending to Neighbors for Knowledge Graph Inference](https://www.aclweb.org/anthology/P19-1431.pdf) 

 		* #### ICML-20

			[Inductive Relation Prediction by Subgraph Reasoning](http://proceedings.mlr.press/v119/teru20a/teru20a.pdf) 

 		* #### EMNLP-19

			[Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning](https://www.aclweb.org/anthology/D19-1264.pdf) 

 	- ### Knowledge

		* #### AAAI-19

			[End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion](https://ojs.aaai.org//index.php/AAAI/article/view/4164) 

 		* #### AAAI-20

			[Commonsense Knowledge Base Completion with Structural and Semantic Context](https://ojs.aaai.org/index.php/AAAI/article/download/5684/5540) 

 			[Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion](https://ojs.aaai.org//index.php/AAAI/article/view/6508) 

 		* #### ESWC 2018

			[Modeling Relational Data with Graph Convolutional Networks](https://link.springer.com/chapter/10.1007/978-3-319-93417-4_38) 

 		* #### ACL-19

			[Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs](https://www.aclweb.org/anthology/P19-1466.pdf) 

 			[A2N: Attending to Neighbors for Knowledge Graph Inference](https://www.aclweb.org/anthology/P19-1431.pdf) 

 			[Multi-Channel Graph Neural Network for Entity Alignment](https://www.aclweb.org/anthology/P19-1140.pdf) 

 			[Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs](https://www.aclweb.org/anthology/P19-1466.pdf) 

 		* #### ICML-20

			[Inductive Relation Prediction by Subgraph Reasoning](http://proceedings.mlr.press/v119/teru20a/teru20a.pdf) 

 			[Inductive Relation Prediction by Subgraph Reasoning](http://proceedings.mlr.press/v119/teru20a/teru20a.pdf) 

 		* #### EMNLP-19

			[Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning](https://www.aclweb.org/anthology/D19-1264.pdf) 

 		* #### EMNLP-20

			[TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion](https://www.aclweb.org/anthology/2020.emnlp-main.462.pdf) 

 		* #### IJCAI-19

			[Robust Embedding with Multi-Level Structures for Link Prediction](https://www.ijcai.org/Proceedings/2019/0728.pdf) 

 		* #### ICLR-20

			[DYNAMICALLY PRUNED MESSAGE PASSING NETWORKS FOR LARGE-SCALE KNOWLEDGE GRAPH

REASONING](https://openreview.net/pdf?id=rkeuAhVKvB) 

 - ## Summarization

	- ### Co-occurrence

		* #### EMNLP-20

			[Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network](https://www.aclweb.org/anthology/2020.emnlp-main.295/) 

 	- ### Coreference

		* #### ACL-20

			[Discourse-Aware Neural Extractive Text Summarization](https://www.aclweb.org/anthology/2020.acl-main.451.pdf) 

 	- ### Dependency

		* #### AAAI-20

			[SemSUM: Semantic Dependency Guided Neural Abstractive Summarization](https://ojs.aaai.org//index.php/AAAI/article/view/6312) 

 	- ### GNN for Directed Graphs

		* #### AAAI-20

			[SemSUM: Semantic Dependency Guided Neural Abstractive Summarization](https://ojs.aaai.org//index.php/AAAI/article/view/6312) 

 		* #### COLING-20

			[Improving Abstractive Dialogue Summarization with Graph Structures and Topic Words](https://www.aclweb.org/anthology/2020.coling-main.39/) 

 		* #### ACL-20

			[Discourse-Aware Neural Extractive Text Summarization](https://www.aclweb.org/anthology/2020.acl-main.451.pdf) 

 			[Discourse-Aware Neural Extractive Text Summarization](https://www.aclweb.org/anthology/2020.acl-main.451.pdf) 

 			[Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward](https://www.aclweb.org/anthology/2020.acl-main.457.pdf) 

 			[Leveraging Graph to Improve Abstractive Multi-Document Summarization](https://www.aclweb.org/anthology/2020.acl-main.555.pdf) 

 		* #### EMNLP-20

			[Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network](https://www.aclweb.org/anthology/2020.emnlp-main.295/) 

 			[Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention](https://www.aclweb.org/anthology/2020.findings-emnlp.2/) 

 		* #### ACL-17

			[Abstractive document summarization with a graph-based attentional neural model](https://www.aclweb.org/anthology/P17-1108/) 

 	- ### AMR

		* #### COLING-18

			[Abstract Meaning Representation for Multi-Document Summarization](https://www.aclweb.org/anthology/C18-1101.pdf) 

 	- ### Discourse

		* #### ACL-20

			[Discourse-Aware Neural Extractive Text Summarization](https://www.aclweb.org/anthology/2020.acl-main.451.pdf) 

 			[Discourse-Aware Neural Extractive Text Summarization](https://www.aclweb.org/anthology/2020.acl-main.451.pdf) 

 			[Leveraging Graph to Improve Abstractive Multi-Document Summarization](https://www.aclweb.org/anthology/2020.acl-main.555.pdf) 

 		* #### COLING-17

			[Graph-based Neural Multi-Document Summarization](https://www.aclweb.org/anthology/K17-1045/) 

 		* #### ACL-17

			[Abstractive document summarization with a graph-based attentional neural model](https://www.aclweb.org/anthology/P17-1108/) 

 	- ### GNN for Heterogeneous Graphs

		* #### ACL-20

			[Heterogeneous Graph Neural Networks for Extractive Document Summarization](https://www.aclweb.org/anthology/2020.acl-main.553.pdf) 

 	- ### Node Embedding Based

		* #### COLING-20

			[Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks](https://www.aclweb.org/anthology/2020.coling-main.468.pdf) 

 	- ### Similarity

		* #### COLING-20

			[Improving Abstractive Dialogue Summarization with Graph Structures and Topic Words](https://www.aclweb.org/anthology/2020.coling-main.39/) 

 		* #### ACL-20

			[Leveraging Graph to Improve Abstractive Multi-Document Summarization](https://www.aclweb.org/anthology/2020.acl-main.555.pdf) 

 			[Heterogeneous Graph Neural Networks for Extractive Document Summarization](https://www.aclweb.org/anthology/2020.acl-main.553.pdf) 

 		* #### EMNLP-20

			[Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network](https://www.aclweb.org/anthology/2020.emnlp-main.295/) 

 			[Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention](https://www.aclweb.org/anthology/2020.findings-emnlp.2/) 

 		* #### COLING-17

			[Graph-based Neural Multi-Document Summarization](https://www.aclweb.org/anthology/K17-1045/) 

 	- ### Graph2Seq

		* #### COLING-20

			[Improving Abstractive Dialogue Summarization with Graph Structures and Topic Words](https://www.aclweb.org/anthology/2020.coling-main.39/) 

 			[Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks](https://www.aclweb.org/anthology/2020.coling-main.468.pdf) 

 		* #### ACL-20

			[Discourse-Aware Neural Extractive Text Summarization](https://www.aclweb.org/anthology/2020.acl-main.451.pdf) 

 			[Discourse-Aware Neural Extractive Text Summarization](https://www.aclweb.org/anthology/2020.acl-main.451.pdf) 

 			[Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward](https://www.aclweb.org/anthology/2020.acl-main.457.pdf) 

 			[Leveraging Graph to Improve Abstractive Multi-Document Summarization](https://www.aclweb.org/anthology/2020.acl-main.555.pdf) 

 			[Heterogeneous Graph Neural Networks for Extractive Document Summarization](https://www.aclweb.org/anthology/2020.acl-main.553.pdf) 

 		* #### EMNLP-20

			[Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network](https://www.aclweb.org/anthology/2020.emnlp-main.295/) 

 			[Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention](https://www.aclweb.org/anthology/2020.findings-emnlp.2/) 

 		* #### COLING-17

			[Graph-based Neural Multi-Document Summarization](https://www.aclweb.org/anthology/K17-1045/) 

 		* #### COLING-18

			[Abstract Meaning Representation for Multi-Document Summarization](https://www.aclweb.org/anthology/C18-1101.pdf) 

 		* #### ACL-17

			[Abstractive document summarization with a graph-based attentional neural model](https://www.aclweb.org/anthology/P17-1108/) 

 	- ### GNN for Undirected Graphs

		* #### COLING-17

			[Graph-based Neural Multi-Document Summarization](https://www.aclweb.org/anthology/K17-1045/) 

 	- ### IE

		* #### ACL-20

			[Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward](https://www.aclweb.org/anthology/2020.acl-main.457.pdf) 

 	- ### Topic

		* #### ACL-20

			[Leveraging Graph to Improve Abstractive Multi-Document Summarization](https://www.aclweb.org/anthology/2020.acl-main.555.pdf) 

 - ## Text Classification

	- ### Coreference

		* #### ACL-20

			[Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks](https://www.aclweb.org/anthology/2020.acl-main.31.pdf) 

 	- ### App-driven

		* #### AAAI-19

			[Graph Convolutional Networks for Text Classification](https://ojs.aaai.org//index.php/AAAI/article/view/4725) 

 		* #### AAAI-20

			[Tensor Graph Convolutional Networks for Text Classification](https://ojs.aaai.org//index.php/AAAI/article/view/6359) 

 		* #### EMNLP-19

			[Text Level Graph Neural Network for Text Classification](https://www.aclweb.org/anthology/D19-1345/) 

 			[Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification](https://www.aclweb.org/anthology/D19-1488/) 

 	- ### GNN for Heterogeneous Graphs

		* #### AAAI-20

			[Tensor Graph Convolutional Networks for Text Classification](https://ojs.aaai.org//index.php/AAAI/article/view/6359) 

 		* #### EMNLP-19

			[Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification](https://www.aclweb.org/anthology/D19-1488/) 

 	- ### GNN for Undirected Graphs

		* #### AAAI-19

			[Graph Convolutional Networks for Text Classification](https://ojs.aaai.org//index.php/AAAI/article/view/4725) 

 		* #### ACL-20

			[Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks](https://www.aclweb.org/anthology/2020.acl-main.31.pdf) 

 		* #### EMNLP-19

			[Text Level Graph Neural Network for Text Classification](https://www.aclweb.org/anthology/D19-1345/) 

 - ## Relation Extraction

	- ### Node Embedding Based Refined

		* #### NAACL-19

			[A General Framework for Information Extraction using Dynamic Span Graphs](https://www.aclweb.org/anthology/N19-1308.pdf) 

 	- ### Co-occurrence

		* #### EMNLP-19

			[Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs](https://www.aclweb.org/anthology/D19-1498/) 

 	- ### Document

		* #### EMNLP-19

			[Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs](https://www.aclweb.org/anthology/D19-1498/) 

 	- ### Coreference

		* #### ACL-19

			[Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network](https://www.aclweb.org/anthology/P19-1423/) 

 		* #### NAACL-19

			[A General Framework for Information Extraction using Dynamic Span Graphs](https://www.aclweb.org/anthology/N19-1308.pdf) 

 	- ### Dependency

		* #### ACL-19

			[GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction](https://www.aclweb.org/anthology/P19-1136.pdf) 

 			[Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network](https://www.aclweb.org/anthology/P19-1423/) 

 			[Attention Guided Graph Convolutional Networks for Relation Extraction](https://www.aclweb.org/anthology/P19-1024/) 

 			[Attention Guided Graph Convolutional Networks for Relation Extraction](https://www.aclweb.org/anthology/P19-1024.pdf) 

 		* #### NAACL-19

			[GraphIE: A Graph-Based Framework for Information Extraction](https://www.aclweb.org/anthology/N19-1082/) 

 		* #### EMNLP-18

			[Graph Convolution over Pruned Dependency Trees Improves Relation Extraction](https://www.aclweb.org/anthology/D18-1244.pdf) 

 			[RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information](https://www.aclweb.org/anthology/D18-1157/) 

 			[N-ary Relation Extraction using Graph State LSTM](https://www.aclweb.org/anthology/D18-1246.pdf) 

 	- ### GNN for Directed Graphs

		* #### ACL-20

			[Structural Information Preserving for Graph-to-Text Generation](https://www.aclweb.org/anthology/2020.acl-main.712/) 

 		* #### ACL-19

			[Attention Guided Graph Convolutional Networks for Relation Extraction](https://www.aclweb.org/anthology/P19-1024.pdf) 

 		* #### EMNLP-18

			[Graph Convolution over Pruned Dependency Trees Improves Relation Extraction](https://www.aclweb.org/anthology/D18-1244.pdf) 

 			[RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information](https://www.aclweb.org/anthology/D18-1157/) 

 			[N-ary Relation Extraction using Graph State LSTM](https://www.aclweb.org/anthology/D18-1246.pdf) 

 	- ### App-driven

		* #### ACL-20

			[Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction](https://www.aclweb.org/anthology/2020.acl-main.342.pdf) 

 		* #### ICML-20

			[Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs](http://proceedings.mlr.press/v119/qu20a/qu20a.pdf) 

 		* #### EMNLP-20

			[Double Graph Based Reasoning for Document-level Relation Extraction](https://www.aclweb.org/anthology/2020.emnlp-main.127.pdf) 

 	- ### AMR

		* #### ACL-20

			[Structural Information Preserving for Graph-to-Text Generation](https://www.aclweb.org/anthology/2020.acl-main.712/) 

 	- ### GNN for Heterogeneous Graphs

		* #### ACL-19

			[GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction](https://www.aclweb.org/anthology/P19-1136.pdf) 

 			[Joint Type Inference on Entities and Relations via Graph Convolutional Networks](https://www.aclweb.org/anthology/P19-1131/) 

 			[Graph Neural Networks with Generated Parameters for Relation Extraction](https://www.aclweb.org/anthology/P19-1128/) 

 		* #### EMNLP-19

			[Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs](https://www.aclweb.org/anthology/D19-1498/) 

 		* #### EMNLP-20

			[Double Graph Based Reasoning for Document-level Relation Extraction](https://www.aclweb.org/anthology/2020.emnlp-main.127.pdf) 

 		* #### NAACL-19

			[Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks](https://www.aclweb.org/anthology/N19-1306.pdf) 

 	- ### Graph2Seq

		* #### ACL-20

			[Structural Information Preserving for Graph-to-Text Generation](https://www.aclweb.org/anthology/2020.acl-main.712/) 

 	- ### GNN for Undirected Graphs

		* #### ACL-19

			[Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network](https://www.aclweb.org/anthology/P19-1423/) 

 			[Attention Guided Graph Convolutional Networks for Relation Extraction](https://www.aclweb.org/anthology/P19-1024/) 

 		* #### ICML-20

			[Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs](http://proceedings.mlr.press/v119/qu20a/qu20a.pdf) 

 		* #### NAACL-19

			[GraphIE: A Graph-Based Framework for Information Extraction](https://www.aclweb.org/anthology/N19-1082/) 

 	- ### IE

		* #### EMNLP-18

			[RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information](https://www.aclweb.org/anthology/D18-1157/) 

 	- ### Knowledge

		* #### ACL-20

			[Structural Information Preserving for Graph-to-Text Generation](https://www.aclweb.org/anthology/2020.acl-main.712/) 

 		* #### NAACL-19

			[Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks](https://www.aclweb.org/anthology/N19-1306.pdf) 

 		* #### EMNLP-18

			[RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information](https://www.aclweb.org/anthology/D18-1157/) 

 - ## Machine Reading Comprehension

	- ### Co-occurrence

		* #### ACL-19

			[Dynamically Fused Graph Network for Multi-hop Reasoning](https://www.aclweb.org/anthology/P19-1617/) 

 	- ### Coreference

		* #### NAACL-19

			[Question Answering by Reasoning Across Documents with Graph Convolutional Networks](https://www.aclweb.org/anthology/N19-1240/) 

 	- ### GNN for Directed Graphs

		* #### ACL-20

			[Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings](https://www.aclweb.org/anthology/2020.acl-main.412/) 

 			[Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension](https://www.aclweb.org/anthology/2020.acl-main.599/) 

 		* #### ACL-19

			[Dynamically Fused Graph Network for Multi-hop Reasoning](https://www.aclweb.org/anthology/P19-1617/) 

 	- ### App-driven

		* #### ACL-20

			[Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks](https://www.aclweb.org/anthology/D19-5306/) 

 			[Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension](https://www.aclweb.org/anthology/2020.acl-main.599/) 

 		* #### ACL-19

			[Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs](https://www.aclweb.org/anthology/P19-1260/) 

 			[Cognitive Graph for Multi-Hop Reading Comprehension at Scale](https://www.aclweb.org/anthology/P19-1259/) 

 		* #### EMNLP-19

			[NumNet: Machine Reading Comprehension with Numerical Reasoning](https://www.aclweb.org/anthology/D19-1251/) 

 		* #### EMNLP-20

			[Hierarchical Graph Network for Multi-hop Question Answering](https://www.aclweb.org/anthology/2020.emnlp-main.710/) 

 			[SRLGRN: Semantic Role Labeling Graph Reasoning Network](https://www.aclweb.org/anthology/2020.emnlp-main.714.pdf) 

 		* #### IJCAI-20

			[Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network](https://www.ijcai.org/Proceedings/2020/540) 

 	- ### GNN for Heterogeneous Graphs

		* #### ACL-19

			[Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs](https://www.aclweb.org/anthology/P19-1260/) 

 		* #### EMNLP-19

			[NumNet: Machine Reading Comprehension with Numerical Reasoning](https://www.aclweb.org/anthology/D19-1251/) 

 		* #### EMNLP-20

			[SRLGRN: Semantic Role Labeling Graph Reasoning Network](https://www.aclweb.org/anthology/2020.emnlp-main.714.pdf) 

 		* #### NAACL-19

			[Question Answering by Reasoning Across Documents with Graph Convolutional Networks](https://www.aclweb.org/anthology/N19-1240/) 

 		* #### IJCAI-20

			[Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network](https://www.ijcai.org/Proceedings/2020/540) 

 	- ### Node Embedding Based

		* #### IJCAI-20

			[GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension](https://www.ijcai.org/Proceedings/2020/171) 

 	- ### Graph2Seq

		* #### ACL-20

			[Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings](https://www.aclweb.org/anthology/2020.acl-main.412/) 

 			[Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks](https://www.aclweb.org/anthology/D19-5306/) 

 		* #### ACL-19

			[Dynamically Fused Graph Network for Multi-hop Reasoning](https://www.aclweb.org/anthology/P19-1617/) 

 	- ### GNN for Undirected Graphs

		* #### ACL-20

			[Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks](https://www.aclweb.org/anthology/D19-5306/) 

 		* #### ACL-19

			[Cognitive Graph for Multi-Hop Reading Comprehension at Scale](https://www.aclweb.org/anthology/P19-1259/) 

 		* #### EMNLP-20

			[Hierarchical Graph Network for Multi-hop Question Answering](https://www.aclweb.org/anthology/2020.emnlp-main.710/) 

 			[SRLGRN: Semantic Role Labeling Graph Reasoning Network](https://www.aclweb.org/anthology/2020.emnlp-main.714.pdf) 

 		* #### NAACL-19

			[BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering](https://www.aclweb.org/anthology/N19-1032/) 

 		* #### IJCAI-20

			[GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension](https://www.ijcai.org/Proceedings/2020/171) 

 	- ### IE

		* #### EMNLP-20

			[SRLGRN: Semantic Role Labeling Graph Reasoning Network](https://www.aclweb.org/anthology/2020.emnlp-main.714.pdf) 

 		* #### NAACL-19

			[BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering](https://www.aclweb.org/anthology/N19-1032/) 

 	- ### Knowledge

		* #### ACL-20

			[Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings](https://www.aclweb.org/anthology/2020.acl-main.412/) 

 - ## Community Question Answering

	- ### Node Embedding Based

		* #### MM-20

			[Multi-modal Attentive Graph Pooling Model for Community Question Answer Matching](https://dl.acm.org/doi/pdf/10.1145/3394171.3413711) 

 		* #### MM-19

			[Hierarchical Graph Semantic Pooling Network for Multi-modal Community Question Answer Matching](https://dl.acm.org/doi/10.1145/3343031.3350966) 

 	- ### Similarity

		* #### MM-20

			[Multi-modal Attentive Graph Pooling Model for Community Question Answer Matching](https://dl.acm.org/doi/pdf/10.1145/3394171.3413711) 

 	- ### Graph2Seq

		* #### MM-20

			[Multi-modal Attentive Graph Pooling Model for Community Question Answer Matching](https://dl.acm.org/doi/pdf/10.1145/3394171.3413711) 

 		* #### MM-19

			[Hierarchical Graph Semantic Pooling Network for Multi-modal Community Question Answer Matching](https://dl.acm.org/doi/10.1145/3343031.3350966) 

 	- ### GNN for Undirected Graphs

		* #### MM-20

			[Multi-modal Attentive Graph Pooling Model for Community Question Answer Matching](https://dl.acm.org/doi/pdf/10.1145/3394171.3413711) 

 		* #### MM-19

			[Hierarchical Graph Semantic Pooling Network for Multi-modal Community Question Answer Matching](https://dl.acm.org/doi/10.1145/3343031.3350966) 

 - ## SQL2Text

	- ### GNN for Directed Graphs

		* #### ArXiv-18

			[Graph2seq: Graph to sequence learning with attention-based neural networks](https://arxiv.org/pdf/1804.00823.pdf) 

 		* #### EMNLP-18

			[SQL-to-Text Generation with Graph-to-Sequence Model](https://www.aclweb.org/anthology/D18-1112/) 

 	- ### App-driven

		* #### EMNLP-19

			[Graph Enhanced Cross-Domain Text-to-SQL Generation](https://www.aclweb.org/anthology/D19-5319/) 

 		* #### ArXiv-18

			[Graph2seq: Graph to sequence learning with attention-based neural networks](https://arxiv.org/pdf/1804.00823.pdf) 

 		* #### EMNLP-18

			[SQL-to-Text Generation with Graph-to-Sequence Model](https://www.aclweb.org/anthology/D18-1112/) 

 	- ### Graph2Seq

		* #### EMNLP-19

			[Graph Enhanced Cross-Domain Text-to-SQL Generation](https://www.aclweb.org/anthology/D19-5319/) 

 		* #### ArXiv-18

			[Graph2seq: Graph to sequence learning with attention-based neural networks](https://arxiv.org/pdf/1804.00823.pdf) 

 		* #### EMNLP-18

			[SQL-to-Text Generation with Graph-to-Sequence Model](https://www.aclweb.org/anthology/D18-1112/) 

 	- ### GNN for Undirected Graphs

		* #### EMNLP-19

			[Graph Enhanced Cross-Domain Text-to-SQL Generation](https://www.aclweb.org/anthology/D19-5319/) 

 - ## Machine Translation

	- ### Coreference

		* #### AAAI-21

			[Document Graph for Neural Machine Translation](https://arxiv.org/pdf/2012.03477.pdf) 

 		* #### NAACL-19

			[Text Generation from Knowledge Graphs with Graph Transformers](https://www.aclweb.org/anthology/N19-1238/) 

 	- ### Dependency

		* #### AAAI-21

			[Document Graph for Neural Machine Translation](https://arxiv.org/pdf/2012.03477.pdf) 

 		* #### EMNLP-17

			[Graph Convolutional Encoders for Syntax-aware Neural Machine Translation](https://www.aclweb.org/anthology/D17-1209v2.pdf) 

 		* #### ACL-18

			[Graph-to-Sequence Learning using Gated Graph Neural Networks](https://www.aclweb.org/anthology/P18-1026/) 

 		* #### NAACL-18

			[Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks](https://www.aclweb.org/anthology/N18-2078/) 

 		* #### EACL-17

			[Context-Aware Graph Segmentation for Graph-Based Translation](https://www.aclweb.org/anthology/E17-2095.pdf) 

 	- ### GNN for Directed Graphs

		* #### AAAI-20

			[Graph Transformer for Graph-to-Sequence Learning](https://ojs.aaai.org//index.php/AAAI/article/view/6243) 

 		* #### ACL-19

			[Lattice-Based Transformer Encoder for Neural Machine Translation](https://www.aclweb.org/anthology/P19-1298/) 

 		* #### TACL-20

			[AMR-To-Text Generation with Graph Transformer](https://www.aclweb.org/anthology/2020.tacl-1.2.pdf) 

 		* #### AAAI-18

			[Graph Based Translation Memory for Neural Machine Translation](https://ojs.aaai.org/index.php/AAAI/article/view/4716) 

 		* #### AAAI-21

			[Document Graph for Neural Machine Translation](https://arxiv.org/pdf/2012.03477.pdf) 

 		* #### EMNLP-17

			[Graph Convolutional Encoders for Syntax-aware Neural Machine Translation](https://www.aclweb.org/anthology/D17-1209v2.pdf) 

 			[Neural Machine Translation with Source-Side Latent Graph Parsing](https://www.aclweb.org/anthology/D17-1012/) 

 		* #### ACL-18

			[Graph-to-Sequence Learning using Gated Graph Neural Networks](https://www.aclweb.org/anthology/P18-1026/) 

 		* #### NAACL-19

			[Text Generation from Knowledge Graphs with Graph Transformers](https://www.aclweb.org/anthology/N19-1238/) 

 		* #### IJCAI-20

			[Knowledge Graphs Enhanced Neural Machine Translation](https://www.ijcai.org/Proceedings/2020/559) 

 		* #### TACL-19

			[Semantic neural machine translation using AMR](https://www.aclweb.org/anthology/Q19-1002.pdf) 

 		* #### NAACL-18

			[Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks](https://www.aclweb.org/anthology/N18-2078/) 

 	- ### App-driven

		* #### ACL-20

			[A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation](https://www.aclweb.org/anthology/2020.acl-main.273/) 

 		* #### ACL-19

			[Lattice-Based Transformer Encoder for Neural Machine Translation](https://www.aclweb.org/anthology/P19-1298/) 

 		* #### AAAI-18

			[Graph Based Translation Memory for Neural Machine Translation](https://ojs.aaai.org/index.php/AAAI/article/view/4716) 

 	- ### AMR

		* #### AAAI-20

			[Graph Transformer for Graph-to-Sequence Learning](https://ojs.aaai.org//index.php/AAAI/article/view/6243) 

 		* #### ACL-20

			[Heterogeneous Graph Transformer for Graph-to-Sequence Learning](https://www.aclweb.org/anthology/2020.acl-main.640.pdf) 

 		* #### TACL-20

			[AMR-To-Text Generation with Graph Transformer](https://www.aclweb.org/anthology/2020.tacl-1.2.pdf) 

 		* #### ACL-18

			[Graph-to-Sequence Learning using Gated Graph Neural Networks](https://www.aclweb.org/anthology/P18-1026/) 

 		* #### TACL-19

			[Semantic neural machine translation using AMR](https://www.aclweb.org/anthology/Q19-1002.pdf) 

 			[Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning](https://www.aclweb.org/anthology/Q19-1019/) 

 	- ### GNN for Heterogeneous Graphs

		* #### ACL-20

			[Heterogeneous Graph Transformer for Graph-to-Sequence Learning](https://www.aclweb.org/anthology/2020.acl-main.640.pdf) 

 	- ### Node Embedding Based

		* #### EMNLP-17

			[Neural Machine Translation with Source-Side Latent Graph Parsing](https://www.aclweb.org/anthology/D17-1012/) 

 	- ### Graph2Seq

		* #### AAAI-20

			[Graph Transformer for Graph-to-Sequence Learning](https://ojs.aaai.org//index.php/AAAI/article/view/6243) 

 		* #### COLING-20

			[Knowledge Graph Enhanced Neural Machine Translation via Multi-task Learning on Sub-entity Granularity](https://www.aclweb.org/anthology/2020.coling-main.397/) 

 		* #### ACL-20

			[Heterogeneous Graph Transformer for Graph-to-Sequence Learning](https://www.aclweb.org/anthology/2020.acl-main.640.pdf) 

 			[A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation](https://www.aclweb.org/anthology/2020.acl-main.273/) 

 		* #### ACL-19

			[Lattice-Based Transformer Encoder for Neural Machine Translation](https://www.aclweb.org/anthology/P19-1298/) 

 		* #### TACL-20

			[AMR-To-Text Generation with Graph Transformer](https://www.aclweb.org/anthology/2020.tacl-1.2.pdf) 

 		* #### AAAI-18

			[Graph Based Translation Memory for Neural Machine Translation](https://ojs.aaai.org/index.php/AAAI/article/view/4716) 

 		* #### AAAI-21

			[Document Graph for Neural Machine Translation](https://arxiv.org/pdf/2012.03477.pdf) 

 		* #### EMNLP-17

			[Graph Convolutional Encoders for Syntax-aware Neural Machine Translation](https://www.aclweb.org/anthology/D17-1209v2.pdf) 

 			[Neural Machine Translation with Source-Side Latent Graph Parsing](https://www.aclweb.org/anthology/D17-1012/) 

 		* #### ACL-18

			[Graph-to-Sequence Learning using Gated Graph Neural Networks](https://www.aclweb.org/anthology/P18-1026/) 

 		* #### NAACL-19

			[Text Generation from Knowledge Graphs with Graph Transformers](https://www.aclweb.org/anthology/N19-1238/) 

 		* #### IJCAI-20

			[Knowledge Graphs Enhanced Neural Machine Translation](https://www.ijcai.org/Proceedings/2020/559) 

 		* #### TACL-19

			[Semantic neural machine translation using AMR](https://www.aclweb.org/anthology/Q19-1002.pdf) 

 			[Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning](https://www.aclweb.org/anthology/Q19-1019/) 

 		* #### NAACL-18

			[Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks](https://www.aclweb.org/anthology/N18-2078/) 

 		* #### EACL-17

			[Context-Aware Graph Segmentation for Graph-Based Translation](https://www.aclweb.org/anthology/E17-2095.pdf) 

 	- ### GNN for Undirected Graphs

		* #### ACL-20

			[A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation](https://www.aclweb.org/anthology/2020.acl-main.273/) 

 		* #### TACL-19

			[Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning](https://www.aclweb.org/anthology/Q19-1019/) 

 	- ### Knowledge

		* #### COLING-20

			[Knowledge Graph Enhanced Neural Machine Translation via Multi-task Learning on Sub-entity Granularity](https://www.aclweb.org/anthology/2020.coling-main.397/) 

 		* #### NAACL-19

			[Text Generation from Knowledge Graphs with Graph Transformers](https://www.aclweb.org/anthology/N19-1238/) 

 		* #### IJCAI-20

			[Knowledge Graphs Enhanced Neural Machine Translation](https://www.ijcai.org/Proceedings/2020/559) 

 - ## Knowledge Base Completion/Reasoning

	- ### GNN for Directed Graphs

		* #### ICLR-20

			[DYNAMICALLY PRUNED MESSAGE PASSING NETWORKS FOR LARGE-SCALE KNOWLEDGE GRAPH

REASONING](https://openreview.net/pdf?id=rkeuAhVKvB) 

 	- ### Knowledge

		* #### ICLR-20

			[DYNAMICALLY PRUNED MESSAGE PASSING NETWORKS FOR LARGE-SCALE KNOWLEDGE GRAPH

REASONING](https://openreview.net/pdf?id=rkeuAhVKvB) 

 - ## Knowledge Base Question Answering

	- ### GNN for Heterogeneous Graphs

		* #### EMNLP-20

			[Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering](https://www.aclweb.org/anthology/2020.emnlp-main.99/) 

 		* #### COLING-18

			[Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering](https://www.aclweb.org/anthology/C18-1280/) 

 	- ### Knowledge

		* #### EMNLP-20

			[Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering](https://www.aclweb.org/anthology/2020.emnlp-main.99/) 

 		* #### COLING-18

			[Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering](https://www.aclweb.org/anthology/C18-1280/)
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