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The Top 23 Graph Representation Learning Open Source Projects

Open source projects categorized as Graph Representation Learning
Categories > Graph Representation Learning
Awesome Graph Classification ⭐ 4,703
A collection of important graph embedding, classification and representation learning papers with implementations.
most recent commit a year ago
Graph Based Deep Learning Literature ⭐ 4,418
links to conference publications in graph-based deep learning
most recent commit 5 months ago
Benchmarking Gnns ⭐ 2,196
Repository for benchmarking graph neural networks
most recent commit 10 months ago
Ampligraph ⭐ 1,963
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
total releases 14most recent commit 9 months ago
Pygcl ⭐ 828
PyGCL: A PyTorch Library for Graph Contrastive Learning
total releases 3most recent commit 4 months ago
Pretrain Gnns ⭐ 805
Strategies for Pre-training Graph Neural Networks
most recent commit 9 months ago
Graph_nets ⭐ 769
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
most recent commit 2 years ago
Pyhgt ⭐ 698
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
most recent commit 8 months ago
Gnn Recommender Systems ⭐ 551
An index of recommendation algorithms that are based on Graph Neural Networks.
most recent commit a year ago
Compgcn ⭐ 519
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
most recent commit a year ago
Graphgps ⭐ 508
Recipe for a General, Powerful, Scalable Graph Transformer
most recent commit 4 months ago
Efficient Gnns ⭐ 490
Code and resources on scalable and efficient Graph Neural Networks
most recent commit a year ago
Gpt Gnn ⭐ 451
Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
most recent commit 10 months ago
Awesome Pretrain On Molecules ⭐ 440
[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models
most recent commit 10 months ago
Graph Transformer ⭐ 408
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
most recent commit 2 years ago
Mixhop And N Gcn ⭐ 389
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
most recent commit a year ago
Graphgan ⭐ 381
A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
most recent commit 4 years ago
Awesome Self Supervised Learning For Graphs ⭐ 300
A curated list for awesome self-supervised learning for graphs.
most recent commit a year ago
Attentionwalk ⭐ 299
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
most recent commit a year ago
Splitter ⭐ 203
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
most recent commit a year ago
Seal Ci ⭐ 201
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
most recent commit a year ago
Gnnlens2 ⭐ 136
Visualization tool for Graph Neural Networks
most recent commit 2 years ago
Lrgb ⭐ 121
Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
most recent commit 5 months ago
The 4 Latest Releases In Graph Representation Learning Open Source Projects
Ampligraph ⭐ 1,963
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
total releases 14latest release July 12, 2023most recent commit 9 months ago
Evalne ⭐ 91
Source code for EvalNE, a Python library for evaluating Network Embedding methods.
total releases 6latest release July 04, 2022most recent commit a year ago
Pygcl ⭐ 828
PyGCL: A PyTorch Library for Graph Contrastive Learning
total releases 3latest release March 20, 2022most recent commit 4 months ago
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