snap-stanford / GraphGymLinks
Platform for designing and evaluating Graph Neural Networks (GNN)
☆1,864Updated 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☆2,067Updated 8 months ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,647Updated 2 years ago
- TGN: Temporal Graph Networks☆1,152Updated last year
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,704Updated last year
- Pytorch Geometric Tutorials☆1,155Updated 2 years ago
- gnn explainer☆1,021Updated last year
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆1,018Updated 4 years ago
- Python library assists deep learning on graphs☆565Updated last month
- A library for graph deep learning research☆1,996Updated last year
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,227Updated 9 months ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,071Updated 2 years ago
- Papers about graph transformers.☆924Updated 9 months ago
- Strategies for Pre-training Graph Neural Networks☆1,047Updated 2 years ago
- How Powerful are Graph Neural Networks?☆1,266Updated 4 years ago
- Papers about explainability of GNNs☆777Updated last week
- Paper Lists for Graph Neural Networks☆2,290Updated 2 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆890Updated 2 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆678Updated 3 years ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆959Updated last year
- Recipe for a General, Powerful, Scalable Graph Transformer☆819Updated last year
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,410Updated last year
- My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Co…☆2,638Updated 3 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,816Updated last year
- TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.☆1,509Updated this week
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,927Updated 3 months ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,645Updated last year
- links to conference publications in graph-based deep learning☆5,003Updated 3 weeks ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,484Updated 3 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆657Updated last year
- TensorFlow implementations of Graph Neural Networks☆932Updated 3 years ago