rampasek / GraphGPSLinks
Recipe for a General, Powerful, Scalable Graph Transformer
☆827Updated last year
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.☆1,018Updated 4 years ago
- Papers about graph transformers.☆923Updated 10 months ago
- [NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch☆343Updated 2 years ago
- Official Pytorch code for Structure-Aware Transformer.☆263Updated 2 years ago
- Strategies for Pre-training Graph Neural Networks☆1,050Updated 2 years ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆313Updated last year
- code for the paper "DiGress: Discrete Denoising diffusion for graph generation"☆498Updated 10 months ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆356Updated 7 months ago
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆572Updated 2 years ago
- Exphormer: Sparse Transformer for Graphs☆186Updated last year
- Papers about explainability of GNNs☆783Updated last month
- ☆356Updated last year
- Subgraph Neural Networks (NeurIPS 2020)☆203Updated 4 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆163Updated 2 years ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆169Updated last year
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,076Updated 2 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆678Updated 3 years ago
- Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)☆359Updated 3 years ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆267Updated 3 years ago
- Microsoft Graphormer (https://arxiv.org/abs/2106.05234) rewritten in Pytorch-Geometric☆166Updated 3 months ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆660Updated last year
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆957Updated last year
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,418Updated last year
- ☆366Updated last year
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆127Updated 5 months ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆620Updated last year
- gnn explainer☆1,028Updated last year
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,707Updated 2 years ago
- All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.☆233Updated last year
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,071Updated 9 months ago