wehos / awesome-graph-transformerLinks
Papers about graph transformers.
☆883Updated 2 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
Sorting:
- Recipe for a General, Powerful, Scalable Graph Transformer☆738Updated 11 months ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,678Updated last year
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,028Updated 2 years ago
- Papers about explainability of GNNs☆733Updated last month
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆970Updated 3 years ago
- Strategies for Pre-training Graph Neural Networks☆1,016Updated last year
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆945Updated 10 months ago
- A pytorch library for graph and hypergraph computation.☆744Updated last year
- TGN: Temporal Graph Networks☆1,059Updated last year
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆521Updated 2 years ago
- gnn explainer☆958Updated 9 months ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆671Updated 2 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆834Updated last year
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆592Updated 10 months ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆307Updated last year
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,008Updated 3 weeks ago
- ☆336Updated 5 months ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆395Updated 11 months ago
- A curated list of graph data augmentation papers.☆311Updated last year
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆564Updated 3 years ago
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,288Updated 11 months ago
- A curated list for awesome self-supervised learning for graphs.☆387Updated 2 years ago
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,802Updated last year
- Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)☆336Updated 3 years ago
- [NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch☆338Updated 2 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆258Updated 6 months ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆640Updated 2 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated 2 years ago
- Papers about large graph models.☆277Updated last year
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆650Updated last year