The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
☆313Mar 4, 2024Updated 2 years ago
Alternatives and similar repositories for NodeFormer
Users that are interested in NodeFormer are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"☆313Jul 2, 2025Updated 8 months ago
- The official implementation for NeurIPS2023 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations"☆277Nov 13, 2025Updated 4 months ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆135Mar 5, 2024Updated 2 years ago
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Jun 28, 2023Updated 2 years ago
- Official Pytorch code for Structure-Aware Transformer.☆262Feb 21, 2023Updated 3 years ago
- Papers about graph transformers.☆922Mar 19, 2025Updated last year
- Recipe for a General, Powerful, Scalable Graph Transformer☆841Jul 4, 2024Updated last year
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs".☆90May 28, 2024Updated last year
- The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"☆84Jul 27, 2023Updated 2 years ago
- [ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角出发10行代码改善类别不平衡节点分类☆27Nov 27, 2024Updated last year
- Code for AAAI21 paper "Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning"☆11Feb 15, 2022Updated 4 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆125Jul 22, 2022Updated 3 years ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆958Feb 17, 2026Updated last month
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆169Apr 22, 2024Updated last year
- Code for ICML21 paper "Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation"☆12Feb 8, 2023Updated 3 years ago
- Code for TNNLS paper "Beyond Homophily and Homogeneity Assumption: Relation-based Frequency Adaptive Graph Neural Networks"☆14Feb 27, 2024Updated 2 years ago
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆92Nov 24, 2022Updated 3 years ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆51Oct 18, 2023Updated 2 years ago
- [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs☆115Nov 14, 2021Updated 4 years ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆62Aug 16, 2022Updated 3 years ago
- A pytorch implementation of graph transformer for node classification☆33May 3, 2023Updated 2 years ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆124Feb 29, 2024Updated 2 years ago
- Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”☆21Jan 15, 2023Updated 3 years ago
- Code for our paper "Attending to Graph Transformers"☆92Nov 20, 2023Updated 2 years ago
- ☆17May 24, 2023Updated 2 years ago
- [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…☆67Nov 5, 2023Updated 2 years ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆248May 18, 2024Updated last year
- This paper is accpeted by WSDM 2023☆13Mar 13, 2023Updated 3 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆507Aug 12, 2022Updated 3 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆165Nov 28, 2023Updated 2 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,715Feb 2, 2024Updated 2 years ago
- ☆30Oct 10, 2021Updated 4 years ago
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,429Jun 7, 2024Updated last year
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆76Apr 5, 2023Updated 2 years ago
- The official implementation of our paper "MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Lea…☆67Jun 8, 2023Updated 2 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆238Jul 23, 2023Updated 2 years ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆63Jun 25, 2022Updated 3 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆358Jul 9, 2020Updated 5 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆270Dec 4, 2024Updated last year