Strategies for Pre-training Graph Neural Networks
☆1,072Jul 29, 2023Updated 3 years ago
Alternatives and similar repositories for pretrain-gnns
Users that are interested in pretrain-gnns are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,727Feb 2, 2024Updated 2 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆501Jul 25, 2024Updated 2 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆331Jul 6, 2023Updated 3 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
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,100May 6, 2025Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data☆395Feb 25, 2026Updated 8 months ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,670Jun 22, 2023Updated 3 years ago
- [IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models☆545Jun 17, 2023Updated 3 years ago
- How Powerful are Graph Neural Networks?☆1,286Jul 1, 2021Updated 5 years ago
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,481Sep 26, 2026Updated last month
- Implementation of MolCLR: "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyG.☆327Nov 4, 2023Updated 2 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆679Aug 16, 2022Updated 4 years ago
- Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.☆171Oct 8, 2023Updated 3 years ago
- Python package for graph neural networks in chemistry and biology☆812Nov 1, 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.
- gnn explainer☆1,063Aug 30, 2024Updated 2 years ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆967Feb 17, 2026Updated 8 months ago
- A library for graph deep learning research☆2,009Jul 15, 2024Updated 2 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆324Dec 27, 2023Updated 2 years ago
- Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"☆128Aug 18, 2023Updated 3 years ago
- Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)☆220Sep 20, 2022Updated 4 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆477Dec 7, 2022Updated 3 years ago
- ☆171Feb 28, 2022Updated 4 years ago
- A powerful and flexible machine learning platform for drug discovery☆1,588Aug 12, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- The official implementation of the Molecule Attention Transformer.☆254Apr 1, 2020Updated 6 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,286Jul 31, 2025Updated last year
- links to conference publications in graph-based deep learning☆5,107Oct 20, 2026Updated last week
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification" (ICLR 2020)☆401Jun 17, 2024Updated 2 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆668Nov 1, 2022Updated 3 years ago
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,909Nov 10, 2023Updated 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
- Graph Neural Network Library for PyTorch☆24,128Updated this week
- Hierarchical Graph Pooling with Structure Learning☆345Jul 12, 2021Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,082Feb 15, 2023Updated 3 years ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆167Aug 30, 2022Updated 4 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆276Apr 26, 2023Updated 3 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
- A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)☆1,199Jun 10, 2024Updated 2 years ago
- Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"☆1,435Aug 15, 2024Updated 2 years ago
- Message Passing Neural Networks for Molecule Property Prediction☆2,514Updated this week