GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23
☆184Jul 6, 2023Updated 2 years ago
Alternatives and similar repositories for GraphMAE2
Users that are interested in GraphMAE2 are comparing it to the libraries listed below
Sorting:
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆575Apr 12, 2023Updated 2 years ago
- [WWW'24] Masked Graph Autoencoder with Non-discrete Bandwidths☆13Jun 23, 2024Updated last year
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆90Oct 29, 2024Updated last year
- 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
- Code for IJCAI'24 paper: Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders☆14Apr 30, 2024Updated last year
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆66Feb 9, 2023Updated 3 years ago
- [CIKM2023] GiGaMA: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction☆18Aug 31, 2023Updated 2 years ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Jun 7, 2023Updated 2 years ago
- Pre-trained Online Contrastive Learning for Insurance Fraud Detection☆12Jul 12, 2024Updated last year
- ☆51Jan 28, 2023Updated 3 years ago
- The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"☆21Oct 3, 2022Updated 3 years ago
- [ICLR 2025] Implementation of "Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning"☆15Jun 6, 2025Updated 8 months ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆81Jun 13, 2022Updated 3 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,711Feb 2, 2024Updated 2 years ago
- Code for AAAI'24 paper "Rethinking Graph Masked Autoencoders through Alignment and Uniformity”.☆14Jun 14, 2024Updated last year
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆244May 18, 2024Updated last year
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆86Aug 27, 2023Updated 2 years ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆957Feb 17, 2026Updated last week
- ☆133Apr 3, 2025Updated 10 months ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆123Jul 22, 2022Updated 3 years ago
- The source code of HeCo☆170Apr 8, 2022Updated 3 years ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆103Mar 12, 2024Updated last year
- [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"☆50Feb 28, 2024Updated last year
- Code for ICLR'24 Paper "Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks"☆10Mar 12, 2024Updated last year
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆144Nov 30, 2022Updated 3 years ago
- Wiener Graph Deconvolutional Network Improves Self-Supervised Learning in AAAI 2023☆18Apr 3, 2024Updated last year
- The implementation of ICASSP 2024 lecture presentation paper "Hypergraph Transformer for Semi-Supervised Classification"☆20Nov 23, 2024Updated last year
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆267Feb 10, 2022Updated 4 years ago
- ☆30Oct 10, 2021Updated 4 years ago
- ☆13Feb 26, 2024Updated 2 years ago
- ☆11Apr 8, 2023Updated 2 years ago
- IJCAI 2022-Initializing Then Refining: A Simple Graph Attribute Imputation Network☆13Mar 4, 2024Updated last year
- GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks☆163Oct 25, 2024Updated last year
- [ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"☆198Jun 13, 2023Updated 2 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆343Apr 25, 2024Updated last year
- Awesome Papers About Performing Prompting On Graphs☆421May 15, 2025Updated 9 months ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆125Feb 29, 2024Updated 2 years ago
- GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment☆17Sep 17, 2024Updated last year
- Official implement of RAHG: A Role-Aware Hypergraph Neural Network for Node Classification in Graphs.☆11Jul 5, 2024Updated last year