snap-stanford / GraphGymLinks
Platform for designing and evaluating Graph Neural Networks (GNN)
☆1,867Updated 2 years ago
Alternatives and similar repositories for GraphGym
Users that are interested in GraphGym are comparing it to the libraries listed below
Sorting:
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,069Updated 8 months ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,647Updated 2 years ago
- gnn explainer☆1,027Updated last year
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,704Updated last year
- Pytorch Geometric Tutorials☆1,154Updated 3 years ago
- Python library assists deep learning on graphs☆567Updated 2 months ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,228Updated 10 months ago
- A library for graph deep learning research☆2,001Updated last year
- TGN: Temporal Graph Networks☆1,158Updated last year
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆1,018Updated 4 years ago
- Strategies for Pre-training Graph Neural Networks☆1,048Updated 2 years ago
- How Powerful are Graph Neural Networks?☆1,269Updated 4 years ago
- Papers about graph transformers.☆923Updated 10 months ago
- Papers about explainability of GNNs☆783Updated last month
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,073Updated 2 years ago
- Recipe for a General, Powerful, Scalable Graph Transformer☆823Updated last year
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,417Updated last year
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,494Updated 3 years ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆957Updated last year
- My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Co…☆2,650Updated 3 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆678Updated 3 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,652Updated last year
- Paper Lists for Graph Neural Networks☆2,294Updated 2 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆895Updated 2 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆660Updated last year
- A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).☆809Updated 3 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,818Updated 2 years ago
- Simple reference implementation of GraphSAGE.☆1,042Updated 5 years ago
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,940Updated 4 months ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆400Updated last year