rampasek / GraphGPSLinks
Recipe for a General, Powerful, Scalable Graph Transformer
☆747Updated 11 months ago
Alternatives and similar repositories for GraphGPS
Users that are interested in GraphGPS are comparing it to the libraries listed below
Sorting:
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆975Updated 3 years ago
- Strategies for Pre-training Graph Neural Networks☆1,018Updated last year
- [NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch☆338Updated 2 years ago
- Papers about graph transformers.☆887Updated 3 months ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆351Updated last week
- Official Pytorch code for Structure-Aware Transformer.☆257Updated 2 years ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆309Updated last year
- code for the paper "DiGress: Discrete Denoising diffusion for graph generation"☆433Updated 2 months ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,029Updated 2 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆157Updated last year
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆672Updated 2 years ago
- A curated list of graph data augmentation papers.☆312Updated last year
- Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)☆337Updated 3 years ago
- Exphormer: Sparse Transformer for Graphs☆181Updated last year
- ☆338Updated 5 months ago
- Papers about explainability of GNNs☆735Updated last month
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆595Updated 11 months ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆395Updated last year
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆526Updated 2 years ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆159Updated last year
- This repository implements variational graph auto encoder by Thomas Kipf.☆409Updated 3 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,681Updated last year
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆257Updated 3 years ago
- gnn explainer☆967Updated 9 months ago
- ☆156Updated 3 years ago
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆125Updated 6 months ago
- Subgraph Neural Networks (NeurIPS 2020)☆200Updated 4 years ago
- Hierarchical Graph Pooling with Structure Learning☆340Updated 3 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆625Updated 10 months ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆841Updated last year