GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22
☆575Apr 12, 2023Updated 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☆184Jul 6, 2023Updated 2 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆90Oct 29, 2024Updated last year
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,711Feb 2, 2024Updated 2 years ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆957Feb 17, 2026Updated last week
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆621Jul 17, 2024Updated last year
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆66Feb 9, 2023Updated 3 years ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆81Jun 13, 2022Updated 3 years ago
- Graph Masked Autoencoders☆27Aug 28, 2022Updated 3 years ago
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆86Aug 27, 2023Updated 2 years ago
- ☆51Jan 28, 2023Updated 3 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆343Apr 25, 2024Updated last year
- Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484☆70Nov 29, 2023Updated 2 years ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆244May 18, 2024Updated last year
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆116Sep 9, 2024Updated last year
- ☆275Jun 22, 2022Updated 3 years ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆83Dec 10, 2021Updated 4 years ago
- Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"☆35Mar 14, 2022Updated 3 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆333Jul 6, 2023Updated 2 years ago
- Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"☆1,437Aug 15, 2024Updated last year
- ☆133Apr 3, 2025Updated 10 months ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Jun 7, 2023Updated 2 years ago
- source code of IJCAI 2021 paper "Graph Representation with Curriculum Contrastive Learning"☆26Jul 7, 2021Updated 4 years ago
- SCR: Training Graph Neural Networks with Consistency Regularization☆36Oct 24, 2022Updated 3 years ago
- The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"☆77Apr 4, 2022Updated 3 years ago
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆92Dec 2, 2021Updated 4 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,817Feb 1, 2024Updated 2 years ago
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆134Apr 22, 2022Updated 3 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆144Nov 30, 2022Updated 3 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆662Nov 1, 2022Updated 3 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Jan 6, 2024Updated 2 years ago
- The source code of HeCo☆170Apr 8, 2022Updated 3 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆56Mar 6, 2023Updated 2 years ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆336Jul 28, 2023Updated 2 years ago
- [CIKM2023] GiGaMA: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction☆18Aug 31, 2023Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Nov 23, 2022Updated 3 years ago
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,422Jun 7, 2024Updated last year
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆181Apr 25, 2024Updated last year
- A Unified Python Library for Graph Prompting☆573May 15, 2025Updated 9 months ago
- Awesome Papers About Performing Prompting On Graphs☆421May 15, 2025Updated 9 months ago