Benchmark datasets, data loaders, and evaluators for graph machine learning
☆2,081May 6, 2025Updated 11 months ago
Alternatives and similar repositories for ogb
Users that are interested in ogb are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,654Jun 22, 2023Updated 2 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,265Jul 31, 2025Updated 8 months ago
- Graph Neural Network Library for PyTorch☆23,669Apr 8, 2026Updated last week
- Strategies for Pre-training Graph Neural Networks☆1,056Jul 29, 2023Updated 2 years ago
- links to conference publications in graph-based deep learning☆5,046Feb 7, 2026Updated 2 months 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.
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆508Aug 12, 2022Updated 3 years ago
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,885Nov 10, 2023Updated 2 years ago
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,442Jun 7, 2024Updated last year
- A library for graph deep learning research☆2,002Jul 15, 2024Updated last year
- Must-read papers on graph neural networks (GNN)☆16,740Dec 20, 2023Updated 2 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,720Feb 2, 2024Updated 2 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,819Feb 1, 2024Updated 2 years ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆166Aug 30, 2022Updated 3 years ago
- Python library assists deep learning on graphs☆570Nov 24, 2025Updated 4 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- How Powerful are Graph Neural Networks?☆1,282Jul 1, 2021Updated 4 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆849Dec 13, 2021Updated 4 years ago
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆294Apr 21, 2021Updated 4 years ago
- Generate embeddings from large-scale graph-structured data.☆3,459Mar 3, 2024Updated 2 years ago
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,190Jul 31, 2022Updated 3 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆357Jun 12, 2025Updated 10 months ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆400Jun 17, 2024Updated last year
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆914Dec 20, 2023Updated 2 years ago
- PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations☆1,095Mar 26, 2026Updated 3 weeks ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.☆1,328Aug 8, 2025Updated 8 months ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,685Aug 4, 2024Updated last year
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆495Dec 5, 2018Updated 7 years ago
- StellarGraph - Machine Learning on Graphs☆3,050Apr 10, 2024Updated 2 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆498Jul 25, 2024Updated last year
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,978Sep 18, 2025Updated 7 months ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆475Dec 7, 2022Updated 3 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,368Apr 14, 2023Updated 3 years ago
- GraphVite: A General and High-performance Graph Embedding System☆1,269Jun 14, 2024Updated last year
- 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.
- Recipe for a General, Powerful, Scalable Graph Transformer☆845Jul 4, 2024Updated last year
- gnn explainer☆1,039Aug 30, 2024Updated last year
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆358Jul 9, 2020Updated 5 years ago
- Build Graph Nets in Tensorflow☆5,397Dec 12, 2022Updated 3 years ago
- TGN: Temporal Graph Networks☆1,180May 28, 2024Updated last year
- ☆304Jul 17, 2022Updated 3 years ago
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,804Mar 18, 2023Updated 3 years ago