qitianwu / NodeFormer
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
☆302Updated last year
Alternatives and similar repositories for NodeFormer:
Users that are interested in NodeFormer are comparing it to the libraries listed below
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆121Updated last year
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆189Updated 2 months ago
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆128Updated 2 years ago
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆501Updated last year
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆205Updated 9 months ago
- A graph transformer framework☆77Updated 2 years ago
- Official Pytorch code for Structure-Aware Transformer.☆256Updated 2 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆224Updated last year
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆158Updated 10 months ago
- Accompanied repositories for our paper Graph foundation model☆190Updated 4 months ago
- Bag of Tricks for Graph Neural Networks.☆291Updated 7 months ago
- A curated list of graph data augmentation papers.☆305Updated 10 months ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆253Updated 3 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆122Updated 2 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆157Updated last year
- AAAI'21: Data Augmentation for Graph Neural Networks☆189Updated 10 months ago
- GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23☆150Updated last year
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆218Updated 9 months ago
- A paper collection about automated graph learning☆97Updated 9 months ago
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆176Updated this week
- GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks☆152Updated 4 months ago
- A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.☆240Updated last month
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆243Updated 3 months ago
- ☆169Updated 11 months ago
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆163Updated last year
- [ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"☆134Updated 4 months ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆93Updated last year
- ☆155Updated 3 years ago
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆88Updated 4 months ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆192Updated 2 weeks ago