rampasek / GraphGPS
Recipe for a General, Powerful, Scalable Graph Transformer
☆671Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for GraphGPS
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆892Updated 3 years ago
- Papers about graph transformers.☆800Updated 7 months ago
- Strategies for Pre-training Graph Neural Networks☆971Updated last year
- [NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch☆318Updated last year
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆341Updated 2 years ago
- Official Pytorch code for Structure-Aware Transformer.☆246Updated last year
- Exphormer: Sparse Transformer for Graphs☆161Updated 8 months ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆153Updated 11 months ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆293Updated 8 months ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆977Updated last year
- Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)☆311Updated 2 years ago
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆475Updated last year
- code for the paper "DiGress: Discrete Denoising diffusion for graph generation"☆367Updated 3 months ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆654Updated 2 years ago
- Papers about explainability of GNNs☆659Updated last month
- Subgraph Neural Networks (NeurIPS 2020)☆190Updated 3 years ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆245Updated 2 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆602Updated 3 months ago
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆100Updated last month
- ☆293Updated last month
- A curated list of graph data augmentation papers.☆300Updated 7 months ago
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,143Updated 5 months ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆383Updated 5 months ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆797Updated 11 months ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆557Updated 4 months ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,594Updated 9 months ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆899Updated 4 months ago
- ☆341Updated 4 months ago
- gnn explainer☆883Updated 2 months ago
- ☆166Updated last year