divelab / DIGLinks
A library for graph deep learning research
☆1,975Updated last year
Alternatives and similar repositories for DIG
Users that are interested in DIG are comparing it to the libraries listed below
Sorting:
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,820Updated last year
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,019Updated 2 months ago
- Strategies for Pre-training Graph Neural Networks☆1,028Updated 2 years ago
- gnn explainer☆985Updated 11 months ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,611Updated 2 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,682Updated last year
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,315Updated last year
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆987Updated 4 years ago
- Papers about explainability of GNNs☆746Updated 3 months ago
- Python library assists deep learning on graphs☆561Updated last year
- TGN: Temporal Graph Networks☆1,089Updated last year
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆944Updated last year
- Recipe for a General, Powerful, Scalable Graph Transformer☆766Updated last year
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,207Updated 4 months ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,034Updated 2 years ago
- Pytorch Geometric Tutorials☆1,125Updated 2 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆674Updated 2 years ago
- Papers about graph transformers.☆897Updated 4 months ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆853Updated last year
- Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)☆532Updated 2 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆394Updated last year
- TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.☆1,468Updated this week
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆353Updated last month
- How Powerful are Graph Neural Networks?☆1,237Updated 4 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,793Updated last year
- Hyperbolic Graph Convolutional Networks in PyTorch.☆634Updated last year
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,852Updated this week
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆469Updated last year
- TensorFlow implementations of Graph Neural Networks☆923Updated 2 years ago
- A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).☆796Updated 2 years ago