THUDM / GraphMAE2Links
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23
☆182Updated 2 years ago
Alternatives and similar repositories for GraphMAE2
Users that are interested in GraphMAE2 are comparing it to the libraries listed below
Sorting:
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆90Updated last year
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆572Updated 2 years ago
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆212Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆88Updated last year
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆136Updated last year
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆56Updated 2 years ago
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆66Updated 2 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆145Updated 3 years ago
- ☆33Updated 2 years ago
- ☆63Updated 3 years ago
- A collection of papers on Graph Structural Learning (GSL)☆58Updated 2 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated last year
- Official Pytorch code for Structure-Aware Transformer.☆263Updated 2 years ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆123Updated last year
- Accompanied repositories for our paper Graph foundation model☆232Updated last year
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆173Updated last year
- A Survey of Learning from Graphs with Heterophily☆157Updated 11 months ago
- GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks☆163Updated last year
- ☆125Updated 2 years ago
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆66Updated last year
- The source code of HeCo☆171Updated 3 years ago
- ☆50Updated 3 years ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆242Updated last year
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆313Updated last year
- Transformer-based Spectral Graph Neural Networks☆85Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆121Updated 2 years ago
- Parameterized Explainer for Graph Neural Network☆142Updated last year
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆270Updated last year
- A curated list of papers on graph structure learning (GSL).☆53Updated last year
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆81Updated 3 years ago