My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
☆2,663Nov 17, 2022Updated 3 years ago
Alternatives and similar repositories for pytorch-GAT
Users that are interested in pytorch-GAT are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,526Apr 9, 2022Updated 4 years ago
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,121Jul 6, 2023Updated 2 years ago
- Graph Neural Network Library for PyTorch☆23,716Apr 30, 2026Updated last week
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,271Jul 31, 2025Updated 9 months ago
- Must-read papers on graph neural networks (GNN)☆16,763Dec 20, 2023Updated 2 years ago
- 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.
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,653Jun 22, 2023Updated 2 years ago
- Graph Convolutional Networks in PyTorch☆5,398Sep 20, 2020Updated 5 years ago
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,980Sep 18, 2025Updated 7 months ago
- links to conference publications in graph-based deep learning☆5,057Feb 7, 2026Updated 2 months ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,231Mar 28, 2025Updated last year
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,889Nov 10, 2023Updated 2 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,380Apr 14, 2023Updated 3 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,690Aug 4, 2024Updated last year
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,085May 6, 2025Updated last year
- 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.
- TGN: Temporal Graph Networks☆1,184May 28, 2024Updated last year
- A library for graph deep learning research☆2,001Jul 15, 2024Updated last year
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆1,024Jul 27, 2021Updated 4 years ago
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,444Jun 7, 2024Updated last year
- Simple reference implementation of GraphSAGE.☆1,046May 11, 2020Updated 5 years ago
- My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing o…☆1,099Dec 27, 2020Updated 5 years ago
- This repository contains implementations and illustrative code to accompany DeepMind publications☆14,887Apr 21, 2026Updated 2 weeks 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 3 years ago
- Heterogeneous Graph Neural Network☆1,208May 6, 2020Updated 6 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.
- Pytorch Geometric Tutorials☆1,170Feb 6, 2026Updated 3 months ago
- A Graph Neural Network Library in Jax☆1,468Mar 18, 2024Updated 2 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆680Aug 16, 2022Updated 3 years ago
- Materials for DGL hands-on tutorial in WWW 2020☆501Jun 21, 2021Updated 4 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,084Feb 15, 2023Updated 3 years ago
- A collection of research papers and software related to explainability in graph machine learning.☆1,986Apr 4, 2022Updated 4 years ago
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆31,104Updated this week
- Graph Neural Networks with Keras and Tensorflow 2.☆2,396Jan 21, 2024Updated 2 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,722Feb 2, 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 Pytorch Implementation of GCNN model from paper Fake News Detection on Social Media using Geometric Deep Learning☆34May 21, 2021Updated 4 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆681Oct 3, 2023Updated 2 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆849Dec 13, 2021Updated 4 years ago
- gnn explainer☆1,042Aug 30, 2024Updated last year
- 🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, fee…☆66,478Jan 22, 2026Updated 3 months ago
- Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)☆539Feb 4, 2023Updated 3 years ago
- StellarGraph - Machine Learning on Graphs☆3,053Apr 10, 2024Updated 2 years ago