graph-representation-learning 开源项目推荐（184 个）

naganandy /graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

benedekrozemberczki /awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

graphdeeplearning /benchmarking-gnns

用于基准图神经网络的存储库（JMLR 2023）

Accenture /AmpliGraph

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

c2g-dev /city2graph

Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis

dsgiitr /graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

tsinghua-fib-lab /GNN-Recommender-Systems

An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

snap-stanford /pretrain-gnns

Strategies for Pre-training Graph Neural Networks

PyGCL /PyGCL

PyGCL: A PyTorch Library for Graph Contrastive Learning

acbull /pyHGT

“异构图变换器”（WWW'20）的代码，基于pytorch_geometric

rampasek /GraphGPS

Recipe for a General, Powerful, Scalable Graph Transformer

daiquocnguyen /Graph-Transformer

Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)

malllabiisc /CompGCN

ICLR 2020：基于组合的多关系图卷积网络

junxia97 /awesome-pretrain-on-molecules

[IJCAI 2023 survey track] 化学预训练模型资源精选列表

hwwang55 /GraphGAN

A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)

chaitjo /efficient-gnns

Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)

acbull /GPT-GNN

Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

benedekrozemberczki /MixHop-and-N-GCN

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

SXKDZ /awesome-self-supervised-learning-for-graphs

A curated list for awesome self-supervised learning for graphs.

HKUDS /Awesome-LLM4Graph-Papers

[KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"