https://github.com/monk1337/graph-neural-networks-for-nlp
Graph Neural networks for NLP
https://github.com/monk1337/graph-neural-networks-for-nlp
attention-mechanism gcn gnn graph graph-attention-networks graph-natural-language-processing graph-networks graph-neural-networks graph-nlp machine-learning multi-label-classification multi-label-learning natural-language-processing neural-network nlp pytorch pytorch-geometric
Last synced: 4 months ago
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Graph Neural networks for NLP
- Host: GitHub
- URL: https://github.com/monk1337/graph-neural-networks-for-nlp
- Owner: monk1337
- Created: 2020-10-08T20:55:02.000Z (almost 5 years ago)
- Default Branch: main
- Last Pushed: 2020-10-08T21:56:09.000Z (almost 5 years ago)
- Last Synced: 2025-04-10T00:36:25.105Z (6 months ago)
- Topics: attention-mechanism, gcn, gnn, graph, graph-attention-networks, graph-natural-language-processing, graph-networks, graph-neural-networks, graph-nlp, machine-learning, multi-label-classification, multi-label-learning, natural-language-processing, neural-network, nlp, pytorch, pytorch-geometric
- Homepage:
- Size: 618 KB
- Stars: 26
- Watchers: 2
- Forks: 5
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Graph-Neural-networks-for-NLP
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##### Table of Contents
1. [Papers](#NLP-papers)
2. [Code](#multi-label-classification)
3. [datasets](#datasets)
4. [Tutorials](#Tutorials)
5. [Researchers](#Researchers)
## Natural language processing
## Papers
- **Graph Convolutional Networks for Text Classification**
- Liang Yao, Chengsheng Mao, Yuan Luo
- [[Paper]](https://arxiv.org/abs/1809.05679)
- **Learning beyond Datasets: Knowledge Graph Augmented Neural Networks for Natural Language Processing**
- Annervaz K M, Somnath Basu Roy Chowdhury, Ambedkar Dukkipati
- [[Paper]](https://www.aclweb.org/anthology/N18-1029/)
- **Multi-Label Text Classification using Attention-based Graph Neural Network**
- Ankit Pal, Muru Selvakumar, Malaikannan Sankarasubbu
- [[Paper]](https://arxiv.org/abs/2003.11644)
- **Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks**
- Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya, Partha Talukdar
- [[Paper]](https://www.aclweb.org/anthology/P19-1320/)
- **Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling**
- Diego Marcheggiani, Ivan Titov
- [[Paper]](https://www.aclweb.org/anthology/D17-1159/)
- **A Shortest Path Dependency Kernel for Relation Extraction**
- Razvan Bunescu, Raymond Mooney
- [[Paper]](https://www.aclweb.org/anthology/H05-1091/)
- **Graph Convolutional Encoders for Syntax-aware Neural Machine Translation**
- Jasmijn Bastings, Ivan Titov, Wilker Aziz, Diego Marcheggiani, Khalil Sima’an
- [[Paper]](https://www.aclweb.org/anthology/D17-1209/)
- **Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks**
- Diego Marcheggiani, Jasmijn Bastings, Ivan Titov
- [[Paper]](https://www.aclweb.org/anthology/N18-2078/)
- **Graph-to-Sequence Learning using Gated Graph Neural Networks**
- Daniel Beck, Gholamreza Haffari, Trevor Cohn
- [[Paper]](https://www.aclweb.org/anthology/P18-1026/)
- **Recurrent Event Network : Global Structure Inference Over Temporal Knowledge Graph**
- Woojeong Jin, He Jiang, Meng Qu, Tong Chen, Changlin Zhang, Pedro Szekely, Xiang Ren
- [[Paper]](https://openreview.net/forum?id=SyeyF0VtDr)
- **Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation**
- Xiao Liu, Zhunchen Luo, Heyan Huang
- [[Paper]](https://www.aclweb.org/anthology/D18-1156/)
- **AD3: Attentive Deep Document Dater**
- Swayambhu Nath Ray, Shib Sankar Dasgupta, Partha Talukdar
- [[Paper]](https://www.aclweb.org/anthology/D18-1213/)
- **Dating Documents using Graph Convolution Networks**
- Shikhar Vashishth, Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha Talukdar
- [[Paper]](https://arxiv.org/abs/1902.00175)
- **Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network**
- Sunil Kumar Sahu, Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou
- [[Paper]](https://www.aclweb.org/anthology/P19-1423/)
- **GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction**
- Tsu-Jui Fu, Peng-Hsuan Li, Wei-Yun Ma
- [[Paper]](https://www.aclweb.org/anthology/P19-1136/)
- **Attention Guided Graph Convolutional Networks for Relation Extraction**
- Zhijiang Guo, Yan Zhang, Wei Lu
- [[Paper]](https://www.aclweb.org/anthology/P19-1024/)
- **Joint Type Inference on Entities and Relations via Graph Convolutional Networks**
- Changzhi Sun, Yeyun Gong, Yuanbin Wu, Ming Gong, Daxin Jiang, Man Lan, Shiliang Sun, Nan Duan
- [[Paper]](https://www.aclweb.org/anthology/P19-1131/)
- **Graph Neural Networks with Generated Parameters for Relation Extraction**
- Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-Seng Chua, Maosong Sun
- [[Paper]](https://www.aclweb.org/anthology/P19-1128/)
- **Graph Convolution for Multimodal Information Extraction from Visually Rich Documents**
- Xiaojing Liu, Feiyu Gao, Qiong Zhang, Huasha Zhao
- [[Paper]](https://www.aclweb.org/anthology/N19-2005/)
- **GraphIE: A Graph-Based Framework for Information Extraction**
- Yujie Qian, Enrico Santus, Zhijing Jin, Jiang Guo, Regina Barzilay
- [[Paper]](https://www.aclweb.org/anthology/N19-1082/)
- **Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks**
- Ningyu Zhang, Shumin Deng, Zhanlin Sun, Guanying Wang, Xi Chen, Wei Zhang, Huajun Chen
- [[Paper]](https://www.aclweb.org/anthology/N19-1306/)
- **Graph Convolution over Pruned Dependency Trees Improves Relation Extraction**
- Yuhao Zhang, Peng Qi, Christopher D. Manning
- [[Paper]](https://www.aclweb.org/anthology/D18-1244/)
- **RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information**
- Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha Talukdar
- [[Paper]](https://www.aclweb.org/anthology/D18-1157/)
- **Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs**
- Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou
- [[Paper]](https://arxiv.org/abs/1909.00228)
- **Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks**
- Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha Talukdar
- [[Paper]](https://arxiv.org/abs/1909.02606)
- **Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks**
- Chen Zhang, Qiuchi Li, Dawei Song
- [[Paper]](https://arxiv.org/abs/1909.03477)
- **DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation**
- Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya, Alexander Gelbukh
- [[Paper]](https://arxiv.org/abs/1908.11540)
- **Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification**
- Linmei Hu1 , Tianchi Yang, Chuan Shi, Houye Ji, Xiaoli Li
- [[Paper]](http://www.shichuan.org/doc/74.pdf)
- **Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks**
- Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya, Partha Talukdar
- [[Paper]](https://www.aclweb.org/anthology/P19-1320/)
- **Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN**
- Hao Peng, Jianxin Li, Yu He, Yaopeng Liu, Mengjiao Bao, Lihong Wang , Yangqiu Song , Qiang Yang,
- [[Paper]](https://dl.acm.org/doi/10.1145/3178876.3186005)
- **Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation**
- Xiao Liu, Zhunchen Luo, Heyan Huang
- [[Paper]](https://www.aclweb.org/anthology/D18-1156/)
- **Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network**
- Kun Xu, Liwei Wang, Mo Yu, Yansong Feng, Yan Song, Zhiguo Wang, Dong Yu
- [[Paper]](https://www.aclweb.org/anthology/P19-1304/)
- **Multi-Channel Graph Neural Network for Entity Alignment**
- Yixin Cao, Zhiyuan Liu, Chengjiang Li, Zhiyuan Liu, Juanzi Li, Tat-Seng Chua
- [[Paper]](https://www.aclweb.org/anthology/P19-1140/)
- **Relation-Aware Entity Alignment for Heterogeneous Knowledge Graphs**
- Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang, Rui Yan, Dongyan Zhao
- [[Paper]](https://www.ijcai.org/Proceedings/2019/733)
- **A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment**
- Rui Ye, Xin Li, Yujie Fang, Hongyu Zang, Mingzhong Wang
- [[Paper]](https://www.ijcai.org/Proceedings/2019/574)
- **Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs**
- Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul
- [[Paper]](https://www.aclweb.org/anthology/P19-1466/)
- **Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding**
- Peifeng Wang, Jialong Han, Chenliang Li, Rong Pan
- [[Paper]](https://aaai.org/ojs/index.php/AAAI/article/view/4698)
- **End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion**
- Chao Shang,Yun Tang, Jing Huang,Jinbo Bi,Xiaodong He,Bowen Zhou
- [[Paper]](https://aaai.org/ojs/index.php/AAAI/article/view/4164)
- **One-Shot Relational Learning for Knowledge Graphs**
- Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang
- [[Paper]](https://www.aclweb.org/anthology/D18-1223/)
- **Modeling Relational Data with Graph Convolutional Networks**
- Michael Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling
- [[Paper]](https://arxiv.org/abs/1703.06103)
- **Knowledge Transfer for Out-of-Knowledge-Base Entities : A Graph Neural Network Approach**
- Takuo Hamaguchi, Hidekazu Oiwa, Masashi Shimbo, Yuji Matsumoto
- [[Paper]](https://www.ijcai.org/Proceedings/2017/250)
- **PaperRobot: Incremental Draft Generation of Scientific Ideas**
- Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, Yi Luan
- [[Paper]](https://www.aclweb.org/anthology/P19-1191/)
- **Text Generation from Knowledge Graphs with Graph Transformers**
- Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, Mirella Lapata, Hannaneh Hajishirzi
- [[Paper]](https://www.aclweb.org/anthology/N19-1238/)
- **Commonsense Knowledge Aware Conversation Generation with Graph Attention**
- Hao Zhou, Tom Young, Minlie Huang, Haizhou Zhao, Jingfang Xu, Xiaoyan Zhu
- [[Paper]](https://www.ijcai.org/Proceedings/2018/643)
- **Towards Knowledge-Based Recommender Dialog System**
- Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang
- [[Paper]](https://arxiv.org/abs/1908.05391)
- **Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks**
- Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos,
- [[Paper]](https://www.kdd.org/kdd2019/accepted-papers/view/estimating-node-importance-in-knowledge-graphs-using-graph-neural-networks)
- **Deep Reasoning with Knowledge Graph for Social Relationship Understanding**
- Zhouxia Wang, Tianshui Chen, Jimmy Ren, Weihao Yu, Hui Cheng, Liang Lin
- [[Paper]](https://www.ijcai.org/Proceedings/2018/0142)
- **KGAT: Knowledge Graph Attention Network for Recommendation**
- Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua
- [[Paper]](https://www.kdd.org/kdd2019/accepted-papers/view/kgat-knowledge-graph-attention-network-for-recommendation)
#### Ongoing list..