Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
☆3,123Jul 6, 2023Updated 2 years ago
Alternatives and similar repositories for pyGAT
Users that are interested in pyGAT 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)☆3,531Apr 9, 2022Updated 4 years ago
- Graph Convolutional Networks in PyTorch☆5,402Sep 20, 2020Updated 5 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆683Oct 3, 2023Updated 2 years ago
- My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Co…☆2,676Nov 17, 2022Updated 3 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,286Jul 31, 2025Updated 11 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Simple reference implementation of GraphSAGE.☆1,050May 11, 2020Updated 6 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,394Apr 14, 2023Updated 3 years ago
- Graph Neural Network Library for PyTorch☆23,852Jun 19, 2026Updated 2 weeks ago
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆493Oct 26, 2020Updated 5 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,707Aug 4, 2024Updated last year
- Must-read papers on graph neural networks (GNN)☆16,809Dec 20, 2023Updated 2 years ago
- Heterogeneous Graph Neural Network☆1,213May 6, 2020Updated 6 years ago
- How Powerful are Graph Neural Networks?☆1,285Jul 1, 2021Updated 5 years ago
- links to conference publications in graph-based deep learning☆5,075Jun 7, 2026Updated 3 weeks 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.
- 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
- Implementation and experiments of graph embedding algorithms.☆3,844Apr 26, 2026Updated 2 months ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,083Feb 15, 2023Updated 3 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆850Dec 13, 2021Updated 4 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆667Nov 1, 2022Updated 3 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,663Jun 22, 2023Updated 3 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆806Nov 6, 2022Updated 3 years ago
- Semi-supervised learning with graph embeddings☆960Mar 5, 2020Updated 6 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,237Mar 28, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A PyTorch implementation of the Transformer model in "Attention is All You Need".☆9,744Apr 16, 2024Updated 2 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆925Dec 20, 2023Updated 2 years ago
- Pytorch implementation of the Attention-based Graph Neural Network(AGNN)☆146Dec 27, 2017Updated 8 years ago
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆203Oct 1, 2021Updated 4 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,278Mar 18, 2023Updated 3 years ago
- 《深入浅出图神经网络：GNN原理解析》配套代码☆1,929Feb 24, 2021Updated 5 years ago
- ☆510Jan 13, 2021Updated 5 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆633Jul 17, 2024Updated last year
- Keras-based implementation of Relational Graph Convolutional Networks☆820Jul 2, 2019Updated 7 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆855Jan 11, 2023Updated 3 years ago
- Graph Convolution Network for PyTorch☆408May 2, 2019Updated 7 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆143May 8, 2018Updated 8 years ago
- Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)☆373Apr 5, 2022Updated 4 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆371Nov 10, 2023Updated 2 years ago
- KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019☆1,163Aug 5, 2020Updated 5 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆530Mar 25, 2021Updated 5 years ago