snap-stanford / GraphGym
Platform for designing and evaluating Graph Neural Networks (GNN)
☆1,726Updated last year
Related projects ⓘ
Alternatives and complementary repositories for GraphGym
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆1,945Updated 9 months ago
- Repository for benchmarking graph neural networks☆2,525Updated last year
- Python library assists deep learning on graphs☆550Updated last year
- Pytorch Geometric Tutorials☆1,057Updated last year
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,591Updated 9 months ago
- TGN: Temporal Graph Networks☆975Updated 5 months ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,142Updated last year
- gnn explainer☆883Updated 2 months ago
- Strategies for Pre-training Graph Neural Networks☆972Updated last year
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆891Updated 3 years ago
- A library for graph deep learning research☆1,880Updated 4 months ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆977Updated last year
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,674Updated last month
- Paper Lists for Graph Neural Networks☆2,214Updated 10 months ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆898Updated 4 months ago
- Recipe for a General, Powerful, Scalable Graph Transformer☆670Updated 4 months ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,733Updated 9 months ago
- Papers about explainability of GNNs☆660Updated last month
- How Powerful are Graph Neural Networks?☆1,187Updated 3 years ago
- Papers about graph transformers.☆798Updated 7 months ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆798Updated 11 months ago
- Simple reference implementation of GraphSAGE.☆996Updated 4 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆601Updated 3 months ago
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,143Updated 5 months ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,428Updated 3 months ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,237Updated 2 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆383Updated 5 months ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆653Updated 2 years ago
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆696Updated 2 years ago
- Implementation of Graph Auto-Encoders in TensorFlow☆1,647Updated 4 years ago