divelab / DIGLinks
A library for graph deep learning research
☆1,997Updated 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)☆1,864Updated 2 years ago
- gnn explainer☆1,025Updated last year
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,068Updated 8 months ago
- Strategies for Pre-training Graph Neural Networks☆1,048Updated 2 years ago
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,415Updated last year
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,705Updated last year
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,647Updated 2 years ago
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆1,018Updated 4 years ago
- Papers about explainability of GNNs☆777Updated 2 weeks ago
- Python library assists deep learning on graphs☆566Updated last month
- Papers about graph transformers.☆924Updated 9 months ago
- TGN: Temporal Graph Networks☆1,155Updated last year
- Pytorch Geometric Tutorials☆1,155Updated 2 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,071Updated 2 years ago
- Recipe for a General, Powerful, Scalable Graph Transformer☆819Updated last year
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆959Updated last year
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,227Updated 9 months ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆890Updated 2 years ago
- How Powerful are Graph Neural Networks?☆1,266Updated 4 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆678Updated 3 years ago
- My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Co…☆2,643Updated 3 years ago
- A powerful and flexible machine learning platform for drug discovery☆1,556Updated last year
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,816Updated last year
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆400Updated last year
- links to conference publications in graph-based deep learning☆5,003Updated last month
- Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)☆537Updated 2 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆356Updated 7 months ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆475Updated 2 years ago
- TensorFlow implementations of Graph Neural Networks☆932Updated 3 years ago
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆735Updated 3 years ago