THUDM / GraphMAELinks
GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
☆570Updated 2 years ago
Alternatives and similar repositories for GraphMAE
Users that are interested in GraphMAE are comparing it to the libraries listed below
Sorting:
- GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23☆181Updated 2 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆620Updated last year
- Official Pytorch code for Structure-Aware Transformer.☆262Updated 2 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆343Updated last year
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆957Updated last year
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆313Updated last year
- This repository implements variational graph auto encoder by Thomas Kipf.☆422Updated 4 years ago
- Bag of Tricks for Graph Neural Networks.☆299Updated last year
- Subgraph Neural Networks (NeurIPS 2020)☆202Updated 4 years ago
- Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)☆359Updated 3 years ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆338Updated 2 years ago
- Graph Auto-Encoder in PyTorch☆442Updated last year
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆117Updated 10 months ago
- A pytorch library for graph and hypergraph computation.☆829Updated 3 weeks ago
- A curated list for awesome self-supervised learning for graphs.☆388Updated 3 years ago
- A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.☆313Updated 11 months ago
- ☆276Updated 3 years ago
- A curated list of graph data augmentation papers.☆313Updated last year
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆181Updated last year
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆211Updated last year
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆270Updated last year
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆136Updated last year
- ☆125Updated 2 years ago
- DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"☆277Updated 3 years ago
- Papers about explainability of GNNs☆782Updated 3 weeks ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆196Updated last year
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆90Updated last year
- Papers about graph transformers.☆923Updated 10 months ago
- PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf☆116Updated 4 years ago
- Recipe for a General, Powerful, Scalable Graph Transformer☆823Updated last year