Repository for benchmarking graph neural networks (JMLR 2023)
☆2,671Jun 22, 2023Updated 3 years ago
Alternatives and similar repositories for benchmarking-gnns
Users that are interested in benchmarking-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:
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,100May 6, 2025Updated last year
- Must-read papers on graph neural networks (GNN)☆16,848Dec 20, 2023Updated 2 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,285Jul 31, 2025Updated last year
- Graph Neural Network Library for PyTorch☆24,128Updated this week
- links to conference publications in graph-based deep learning☆5,106Updated this week
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Strategies for Pre-training Graph Neural Networks☆1,072Jul 29, 2023Updated 3 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification" (ICLR 2020)☆401Jun 17, 2024Updated 2 years ago
- How Powerful are Graph Neural Networks?☆1,287Jul 1, 2021Updated 5 years ago
- gnn explainer☆1,062Aug 30, 2024Updated 2 years ago
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,908Nov 10, 2023Updated 2 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,726Feb 2, 2024Updated 2 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆495Dec 5, 2018Updated 7 years ago
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,189Jul 31, 2022Updated 4 years ago
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆1,030Jul 27, 2021Updated 5 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.
- Attention over nodes in Graph Neural Networks using PyTorch [NeurIPS 2019]☆290Oct 25, 2020Updated 5 years ago
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,481Sep 26, 2026Updated 3 weeks ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆477Dec 7, 2022Updated 3 years ago
- A library for graph deep learning research☆2,010Jul 15, 2024Updated 2 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,412Apr 14, 2023Updated 3 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆358Jun 12, 2025Updated last year
- Paper Lists for Graph Neural Networks☆2,313Dec 29, 2023Updated 2 years ago
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,805Mar 18, 2023Updated 3 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,819Feb 1, 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.
- Graph Convolutional Networks in PyTorch☆5,398Sep 20, 2020Updated 6 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,730Aug 4, 2024Updated 2 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆851Dec 13, 2021Updated 4 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆508Aug 12, 2022Updated 4 years ago
- ☆311Jul 17, 2022Updated 4 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆668Nov 1, 2022Updated 3 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆295Mar 29, 2023Updated 3 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,236Mar 28, 2025Updated last year
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆936Dec 20, 2023Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)☆533Feb 4, 2023Updated 3 years ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,558Apr 9, 2022Updated 4 years ago
- Build Graph Nets in Tensorflow☆5,407Dec 12, 2022Updated 3 years ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆475Aug 14, 2023Updated 3 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,280Mar 18, 2023Updated 3 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,082Feb 15, 2023Updated 3 years ago
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,992May 30, 2026Updated 4 months ago