divelab / DIGLinks
A library for graph deep learning research
☆1,987Updated last year
Alternatives and similar repositories for DIG
Users that are interested in DIG are comparing it to the libraries listed below
Sorting:
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,040Updated 5 months ago
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,846Updated last year
- Strategies for Pre-training Graph Neural Networks☆1,040Updated 2 years ago
- gnn explainer☆1,010Updated last year
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,688Updated last year
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,631Updated 2 years ago
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆1,001Updated 4 years ago
- Papers about explainability of GNNs☆759Updated 5 months ago
- TGN: Temporal Graph Networks☆1,111Updated last year
- Recipe for a General, Powerful, Scalable Graph Transformer☆790Updated last year
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,351Updated last year
- Python library assists deep learning on graphs☆564Updated last year
- How Powerful are Graph Neural Networks?☆1,249Updated 4 years ago
- Papers about graph transformers.☆910Updated 7 months ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,215Updated 6 months ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆397Updated last year
- Pytorch Geometric Tutorials☆1,141Updated 2 years ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆954Updated last year
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,055Updated 2 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆676Updated 3 years ago
- Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)☆535Updated 2 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆871Updated last year
- TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.☆1,490Updated last month
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆354Updated 4 months ago
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,878Updated last month
- TensorFlow implementations of Graph Neural Networks☆927Updated 2 years ago
- My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Co…☆2,603Updated 2 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,802Updated last year
- Hyperbolic Graph Convolutional Networks in PyTorch.☆646Updated last year
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆472Updated 2 years ago