wehos / awesome-graph-transformer
Papers about graph transformers.
☆827Updated 9 months ago
Alternatives and similar repositories for awesome-graph-transformer:
Users that are interested in awesome-graph-transformer are comparing it to the libraries listed below
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,634Updated 11 months ago
- Papers about explainability of GNNs☆679Updated last month
- Recipe for a General, Powerful, Scalable Graph Transformer☆699Updated 6 months ago
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆922Updated 3 years ago
- Strategies for Pre-training Graph Neural Networks☆981Updated last year
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆915Updated 6 months ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,001Updated last year
- gnn explainer☆905Updated 4 months ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆661Updated 2 years ago
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,745Updated last year
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆488Updated last year
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,190Updated 7 months ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆569Updated 6 months ago
- TGN: Temporal Graph Networks☆1,004Updated 7 months ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆603Updated 5 months ago
- A curated list for awesome self-supervised learning for graphs.☆379Updated 2 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆806Updated last year
- A pytorch library for graph and hypergraph computation.☆693Updated 9 months ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆491Updated 5 months ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆633Updated 2 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆1,964Updated last month
- Papers about large graph models.☆269Updated 9 months ago
- ☆311Updated 2 weeks ago
- How Powerful are Graph Neural Networks?☆1,200Updated 3 years ago
- Repository for benchmarking graph neural networks☆2,541Updated last year
- A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.☆223Updated 4 months ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆538Updated 3 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆317Updated 8 months ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆345Updated 2 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆390Updated 7 months ago