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!
☆2,686Nov 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)☆3,555Apr 9, 2022Updated 4 years ago
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,124Jul 6, 2023Updated 3 years ago
- Graph Neural Network Library for PyTorch☆24,115Oct 6, 2026Updated last week
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,281Jul 31, 2025Updated last year
- Must-read papers on graph neural networks (GNN)☆16,845Dec 20, 2023Updated 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.
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,670Jun 22, 2023Updated 3 years ago
- Graph Convolutional Networks in PyTorch☆5,397Sep 20, 2020Updated 6 years ago
- PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)☆2,992May 30, 2026Updated 4 months ago
- links to conference publications in graph-based deep learning☆5,101Sep 28, 2026Updated 2 weeks ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,236Mar 28, 2025Updated last year
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,908Nov 10, 2023Updated 2 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,409Apr 14, 2023Updated 3 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,729Aug 4, 2024Updated 2 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,099May 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☆1,209May 28, 2024Updated 2 years ago
- A library for graph deep learning research☆2,010Jul 15, 2024Updated 2 years ago
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,480Sep 26, 2026Updated 2 weeks ago
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆1,029Jul 27, 2021Updated 5 years ago
- Simple reference implementation of GraphSAGE.☆1,051May 11, 2020Updated 6 years ago
- My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing o…☆1,116Dec 27, 2020Updated 5 years ago
- This repository contains implementations and illustrative code to accompany DeepMind publications☆15,231Jun 17, 2026Updated 3 months ago
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,187Jul 31, 2022Updated 4 years ago
- Heterogeneous Graph Neural Network☆1,220May 6, 2020Updated 6 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.
- Pytorch Geometric Tutorials☆1,177Feb 6, 2026Updated 8 months ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆679Aug 16, 2022Updated 4 years ago
- A collection of research papers and software related to explainability in graph machine learning.☆1,994Apr 4, 2022Updated 4 years ago
- Materials for DGL hands-on tutorial in WWW 2020☆501Jun 21, 2021Updated 5 years ago
- A Graph Neural Network Library in Jax☆1,475Mar 18, 2024Updated 2 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,081Feb 15, 2023Updated 3 years ago
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆31,395Updated this week
- The Pytorch Implementation of GCNN model from paper Fake News Detection on Social Media using Geometric Deep Learning☆34May 21, 2021Updated 5 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,726Feb 2, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Graph Neural Networks with Keras and Tensorflow 2.☆2,396Jan 21, 2024Updated 2 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆688Oct 3, 2023Updated 3 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆851Dec 13, 2021Updated 4 years ago
- gnn explainer☆1,062Aug 30, 2024Updated 2 years ago
- StellarGraph - Machine Learning on Graphs☆3,063Apr 10, 2024Updated 2 years ago
- Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)☆532Feb 4, 2023Updated 3 years ago
- 🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, fee…☆67,549Jan 22, 2026Updated 8 months ago