Projects in Awesome Lists tagged with graph-learning

https://github.com/alibaba/euler

A distributed graph deep learning framework.

deep-learning gcn ggnn graph graph-convolutional-networks graph-embedding graph-learning graph-neural-networks graphsage network-embedding node2vec random-walk

Last synced: 05 Oct 2025

https://github.com/paddlepaddle/pgl

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

graph graph-learning graph-neural-network heterogeneous-graph-learning metapath

Last synced: 13 Apr 2025

https://github.com/PaddlePaddle/PGL

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

graph graph-learning graph-neural-network heterogeneous-graph-learning metapath

Last synced: 13 Apr 2025

https://github.com/awslabs/dgl-ke

High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

dgl graph-learning knowledge-graph knowledge-graphs-embeddings machine-learning

Last synced: 15 May 2025

https://github.com/tensorflow/neural-structured-learning

Training neural models with structured signals.

adversarial-learning graph-learning keras neural-networks regularization structured-signals tensorflow

Last synced: 14 May 2025

https://github.com/hkuds/graphgpt

[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"

graph-learning graph-neural-networks instruction-tuning large-language-models text-graph

Last synced: 04 Jul 2025

https://github.com/HKUDS/GraphGPT

[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"

graph-learning graph-neural-networks instruction-tuning large-language-models text-graph

Last synced: 07 Apr 2025

https://github.com/wenwenyu/PICK-pytorch

Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)

document-analysis document-understanding graph-convolutional-network graph-learning graph-neural-networks key-information-extraction

Last synced: 28 Apr 2025

https://github.com/hkuds/llmrec

[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

colloborative-filtering content-based-recommendation data-augmentation-strategies graph-augmentation graph-learning multi-modal-recommendation recommendation-system recommendation-with-side-information

Last synced: 04 Jul 2025

https://github.com/HKUDS/LLMRec

[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

colloborative-filtering content-based-recommendation data-augmentation-strategies graph-augmentation graph-learning multi-modal-recommendation recommendation-system recommendation-with-side-information

Last synced: 08 May 2025

https://github.com/hkuds/opengraph

[EMNLP'2024] "OpenGraph: Towards Open Graph Foundation Models"

data-augmentation fundation-models graph-algorithms graph-fundation-models graph-generation graph-learning graph-neural-networks large-langage-models large-language-models transformer

Last synced: 07 Oct 2025

https://github.com/quiver-team/torch-quiver

PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.

distributed-computing geometric-deep-learning gpu-acceleration graph-learning graph-neural-networks pytorch

Last synced: 04 Apr 2025

https://github.com/huawei-noah/bgcn

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

bayesian-graph-neural-networks bayesian-neural-networks gcn gnn graph-convolutional-network graph-convolutional-neural-networks graph-learning graph-neural-networks

Last synced: 09 Apr 2025

https://github.com/opencog/learn

Neuro-symbolic interpretation learning (mostly just language-learning, for now)

graph-learning natural-language natural-language-learning natural-language-understanding neural-network symbolic-ai

Last synced: 26 Jun 2025

https://github.com/ai4ce/disconet

[NeurIPS2021] Learning Distilled Collaboration Graph for Multi-Agent Perception

3d-object-detection 3d-scene-understanding autonomous-driving collaborative-learning communication-networks computer-vision deep-learning graph graph-learning knowledge-distillation multi-agent-learning multi-agent-perception multi-agent-system point-cloud-processing v2v v2x-communication

Last synced: 24 Feb 2026

https://github.com/ai4ce/DiscoNet

[NeurIPS2021] Learning Distilled Collaboration Graph for Multi-Agent Perception

3d-object-detection 3d-scene-understanding autonomous-driving collaborative-learning communication-networks computer-vision deep-learning graph graph-learning knowledge-distillation multi-agent-learning multi-agent-perception multi-agent-system point-cloud-processing v2v v2x-communication

Last synced: 20 Mar 2025

https://github.com/rubenwiersma/deltaconv

Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."

differential-geometry geometric-deep-learning graph-learning point-cloud point-cloud-classification point-cloud-segmentation pytorch

Last synced: 07 Oct 2025

https://github.com/hkuds/graphedit

"GraphEdit: Large Language Models for Graph Structure Learning"

graph-learning graph-neural-networks graph-structure-learning instruction-tuning large-language-models

Last synced: 12 Feb 2026

https://github.com/hkuds/higpt

[KDD'2024] "HiGPT: Heterogenous Graph Language Models"

fundation-models graph-learning graph-model graph-neural-networks instruction-tuning large-language-models pre-trained-model

Last synced: 04 Jul 2025

https://github.com/BorgwardtLab/TOGL

Topological Graph Neural Networks (ICLR 2022)

graph-classification graph-learning iclr2022 machine-learning node-classification persistent-homology pytorch pytorch-geometric

Last synced: 15 Jul 2025

https://github.com/wxxshirley/gnn4taskplan

[NeurIPS 2024] Official implementation for paper "Can Graph Learning Improve Planning in LLM-based Agents?"

autonomous-agents graph-learning graph-neural-networks language-agents large-language-models task-planning

Last synced: 06 Apr 2025

https://github.com/borgwardtlab/togl

Topological Graph Neural Networks (ICLR 2022)

graph-classification graph-learning iclr2022 machine-learning node-classification persistent-homology pytorch pytorch-geometric

Last synced: 11 Jul 2025

https://github.com/hkuds/anygraph

"AnyGraph: Graph Foundation Model in the Wild"

graph-fundation-models graph-learning graph-model graph-neural-networks large-models

Last synced: 04 Jul 2025

https://github.com/intellabs/gravi-t

Graph learning framework for long-term video understanding

graph-learning pytorch-geometric video-understanding

Last synced: 09 May 2025

https://github.com/hkuds/diffgraph

[WSDM'2025] "DiffGraph: Heterogeneous Graph Diffusion Model"

diffusion-model graph-learning heterogeneous-graph

Last synced: 04 Jul 2025

https://github.com/mims-harvard/gnndelete

General Strategy for Unlearning in Graph Neural Networks

geometric-deep-learning graph-learning graph-neural-networks knowledge-graph machine-unlearning representation-learning

Last synced: 10 Oct 2025

https://github.com/youweiliang/ConsistentGraphLearning

MATLAB code for the ICDM paper "Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering"

clustering clustering-algorithm graph-learning multi-view-clustering multiview-clustering multiview-learning spectral-clustering

Last synced: 27 Mar 2025

https://github.com/johannesmessner/boxte

Box embedding model for temporal knowledge graph completion. AAAI paper: https://arxiv.org/abs/2109.08970

aaai graph-learning knowledge-graph ml

Last synced: 20 Aug 2025

https://github.com/facebookresearch/forwardgnn

This repository provides code for the paper "Forward Learning of Graph Neural Networks" (ICLR 2024).

forward-learning graph-learning graph-neural-networks link-prediction node-classification

Last synced: 19 Apr 2025

https://github.com/hkuds/graphaug

[ICDE'2024] "GraphAug: Graph Augmentation for Recommendation"

collaborative-filtering contrastive-learning graph-augmentation graph-learning graph-neural-networks recommender-system self-supervised-learning

Last synced: 04 Jul 2025

https://github.com/theislab/geome

anndata graph-learning microscopy pytorch-geometric

Last synced: 11 Oct 2025

https://github.com/borgwardtlab/ggme

Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions" https://openreview.net/forum?id=tBtoZYKd9n

evaluation-framework evaluation-metrics generative-model graph-learning machine-learning

Last synced: 11 Jul 2025

https://github.com/smeznar/snore

SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations

graph-embedding graph-learning interpretable-machine-learning node-prediction unsupervised-graph-embedding unsupervised-learning

Last synced: 02 Apr 2026

https://github.com/varunkhurana07/asag-gt

Multi-Relational Graph Transformer for Automatic Short Answer Grading (NAACL 2022)

asag attention automatic-short-answer-grading deep-learning graph graph-learning graph-similarity knowledge-graphs mitigate multi-relational nlp python text-similarity transformer

Last synced: 29 Jul 2025

https://github.com/borgwardtlab/fisher_information_embedding

Official code for Fisher information embedding for node and graph learning (ICML 2023)

attention-model graph-kernels graph-learning graph-neural-networks icml-2023 information-geometry

Last synced: 11 Jul 2025

https://github.com/wxxshirley/kdd2024procom

Codes and data for KDD 2024 Research Track paper "ProCom: A Few-shot Targeted Community Detection Algorithm"

community-detection data-mining graph-learning graph-neural-networks

Last synced: 09 Jul 2025

https://github.com/tata1661/simplestc-emnlp22

Codes for SimSTC published in EMNLP 2022.

emnlp2022 graph-learning graph-neural-networks inductive-text-classification short-text-classification text-classification

Last synced: 30 Jul 2025

https://github.com/hkuds/lightgnn

[WSDM'25] "LightGNN: Simple Graph Neural Network for Recommendation"

graph-learning graph-neural-networks knowledge-distillation model-compression recommendation

Last synced: 04 Jul 2025

https://github.com/kvarun07/asag-gt

Multi-Relational Graph Transformer for Automatic Short Answer Grading (NAACL 2022)

asag attention automatic-short-answer-grading deep-learning graph graph-learning graph-similarity knowledge-graphs mitigate multi-relational nlp python text-similarity transformer

Last synced: 10 Apr 2025

https://github.com/wxxshirley/llmnodebed

Official implementation for paper "A Comprehensive Analysis on LLM-based Node Classification Algorithms" https://arxiv.org/abs/2502.00829

gnn graph-learning graph-neural-networks large-language-models node-classification

Last synced: 28 Oct 2025

https://github.com/dmitryryumin/icml-2025-papers

ICML 2025 Papers: Dive into cutting-edge research from the premier machine learning conference. Stay current with breakthroughs in deep learning, generative AI, optimization, reinforcement learning, and beyond. Code implementations included. ⭐ support the future of machine learning research!

ai-research deep-learning diffusion-models generative-ai graph-learning icml icml-2025 machine-learning multimodal-ai optimization reinforcement-learning