GraphGallery is a gallery for benchmarking Graph Neural Networks
☆473Aug 14, 2023Updated 2 years ago
Alternatives and similar repositories for GraphGallery
Users that are interested in GraphGallery are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A collection of graph data used for semi-supervised node classification.☆40Sep 11, 2022Updated 3 years ago
- A curated collection of adversarial attack and defense on graph data.☆583Nov 7, 2023Updated 2 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,717Feb 2, 2024Updated 2 years ago
- A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).☆89Oct 15, 2024Updated last year
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆400Jun 17, 2024Updated last year
- 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.
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,818Feb 1, 2024Updated 2 years ago
- arxiv-daily☆13Jan 25, 2023Updated 3 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,653Jun 22, 2023Updated 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
- A library for graph deep learning research☆2,002Jul 15, 2024Updated last year
- Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x☆508Feb 10, 2026Updated 2 months ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Oct 11, 2022Updated 3 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆493Dec 5, 2018Updated 7 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆304May 12, 2023Updated 2 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.
- Strategies for Pre-training Graph Neural Networks☆1,057Jul 29, 2023Updated 2 years ago
- links to conference publications in graph-based deep learning☆5,041Feb 7, 2026Updated 2 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 Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆356Jun 12, 2025Updated 9 months ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,079May 6, 2025Updated 11 months ago
- A PyTorch Graph Neural Network Library☆375Sep 4, 2025Updated 7 months ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆680Aug 16, 2022Updated 3 years ago
- A curated list of adversarial attacks and defenses papers on graph-structured data.☆862Dec 15, 2023Updated 2 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆358Jul 9, 2020Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Adversarial attacks and defenses on Graph Neural Networks.☆392Feb 22, 2024Updated 2 years ago
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆159Apr 7, 2023Updated 3 years ago
- Python library assists deep learning on graphs☆570Nov 24, 2025Updated 4 months ago
- Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, IC…☆366Apr 9, 2023Updated 3 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆296Mar 29, 2023Updated 3 years ago
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,884Nov 10, 2023Updated 2 years ago
- [ICLR 2024] Official implementation of Spiking Graph Contrastive Learning (0️⃣1️⃣ SpikeGCL)☆33May 8, 2024Updated last year
- Distance Encoding for GNN Design☆188Mar 20, 2021Updated 5 years ago
- ☆366Jun 25, 2024Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,261Jul 31, 2025Updated 8 months ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆86Jun 16, 2025Updated 9 months ago
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆959Feb 17, 2026Updated last month
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,435Jun 7, 2024Updated last year
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆76Apr 5, 2023Updated 3 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆194Apr 24, 2024Updated last year
- A curated list of graph data augmentation papers.☆313Apr 17, 2024Updated last year