THUDM / GraphMAE2
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23
☆156Updated last year
Alternatives and similar repositories for GraphMAE2:
Users that are interested in GraphMAE2 are comparing it to the libraries listed below
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆84Updated 5 months ago
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆193Updated 3 months ago
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆508Updated 2 years ago
- ☆32Updated last year
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆58Updated 2 years ago
- ☆111Updated last year
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated 10 months ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆115Updated 2 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆137Updated 2 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆80Updated 4 months ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆248Updated 4 months ago
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆58Updated 6 months ago
- Accompanied repositories for our paper Graph foundation model☆198Updated 5 months ago
- The source code of HeCo☆162Updated 3 years ago
- ☆60Updated 2 years ago
- A Survey of Learning from Graphs with Heterophily☆130Updated last month
- ☆47Updated 2 years ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆79Updated 2 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆55Updated 2 years ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆302Updated last year
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆159Updated 11 months ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆114Updated 3 weeks ago
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆95Updated last year
- Parameterized Explainer for Graph Neural Network☆130Updated last year
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆170Updated 11 months ago
- This project is a scalable unified framework for deep graph clustering.☆104Updated 4 months ago
- GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks☆154Updated 5 months ago
- Official Pytorch code for Structure-Aware Transformer.☆257Updated 2 years ago
- A collection of resources on attention-based graph neural networks☆70Updated last year