Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
☆1,727Feb 2, 2024Updated 2 years ago
Alternatives and similar repositories for awesome-self-supervised-gnn
Users that are interested in awesome-self-supervised-gnn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆967Feb 17, 2026Updated 7 months ago
- A curated list for awesome self-supervised learning for graphs.☆391Oct 25, 2022Updated 3 years ago
- Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"☆1,436Aug 15, 2024Updated 2 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆636Jul 17, 2024Updated 2 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆357Apr 25, 2024Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Strategies for Pre-training Graph Neural Networks☆1,071Jul 29, 2023Updated 3 years ago
- Papers about explainability of GNNs☆817Jun 3, 2026Updated 3 months ago
- Papers about graph transformers.☆929Mar 19, 2025Updated last year
- links to conference publications in graph-based deep learning☆5,098Jun 7, 2026Updated 3 months ago
- A curated list of graph data augmentation papers.☆311Apr 17, 2024Updated 2 years ago
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆593Apr 12, 2023Updated 3 years ago
- ☆276Jun 22, 2022Updated 4 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆501Jul 25, 2024Updated 2 years ago
- A library for graph deep learning research☆2,009Jul 15, 2024Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆331Jul 6, 2023Updated 3 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,821Feb 1, 2024Updated 2 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆113Jun 10, 2021Updated 5 years ago
- A curated list of adversarial attacks and defenses papers on graph-structured data.☆861Dec 15, 2023Updated 2 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆668Nov 1, 2022Updated 3 years ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆119Sep 9, 2024Updated 2 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,095May 6, 2025Updated last year
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Jul 6, 2023Updated 3 years ago
- Must-read papers on graph neural networks (GNN)☆16,843Dec 20, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,669Jun 22, 2023Updated 3 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆933Dec 20, 2023Updated 2 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆678Aug 16, 2022Updated 4 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆310May 12, 2023Updated 3 years ago
- Papers about out-of-distribution generalization on graphs.☆169Jun 5, 2023Updated 3 years ago
- A collection of AWESOME things about Graph-Related LLMs.☆2,447Nov 5, 2025Updated 10 months ago
- Recipe for a General, Powerful, Scalable Graph Transformer☆879Jul 4, 2024Updated 2 years ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆475Aug 14, 2023Updated 3 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆295Mar 29, 2023Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Awesome Papers About Performing Prompting On Graphs☆425May 15, 2025Updated last year
- A curated collection of adversarial attack and defense on graph data.☆588Nov 7, 2023Updated 2 years ago
- Accompanied repositories for our paper Graph foundation model☆237Nov 11, 2024Updated last year
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆324Dec 27, 2023Updated 2 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆273Dec 4, 2024Updated last year
- Graph Neural Network Library for PyTorch☆24,096Sep 1, 2026Updated 3 weeks ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,285Jul 31, 2025Updated last year