THUDM / GraphMAE2Links
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23
☆158Updated last year
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☆87Updated 7 months ago
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆521Updated 2 years ago
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆194Updated 5 months ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆125Updated last year
- GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks☆156Updated 7 months ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆65Updated 11 months ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆81Updated 6 months ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆116Updated 2 years ago
- ☆47Updated 2 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆122Updated 2 years ago
- Accompanied repositories for our paper Graph foundation model☆205Updated 6 months ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆306Updated last year
- ☆61Updated 2 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆138Updated 2 years ago
- Official Pytorch code for Structure-Aware Transformer.☆258Updated 2 years ago
- ☆33Updated 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
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆167Updated last year
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆80Updated 2 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆120Updated 11 months ago
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆96Updated last year
- A collection of resources on attention-based graph neural networks☆76Updated last year
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆113Updated 8 months ago
- Papers about out-of-distribution generalization on graphs.☆167Updated last year
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆98Updated last year
- ☆113Updated last year
- This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"☆97Updated last year
- ☆29Updated last year
- ☆128Updated 2 months ago
- ☆46Updated 9 months ago