Paper Lists for Graph Neural Networks
☆2,313Dec 29, 2023Updated 2 years ago
Alternatives and similar repositories for Awesome-Graph-Neural-Networks
Users that are interested in Awesome-Graph-Neural-Networks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Must-read papers on graph neural networks (GNN)☆16,842Dec 20, 2023Updated 2 years ago
- links to conference publications in graph-based deep learning☆5,098Jun 7, 2026Updated 3 months ago
- Graph Neural Network Library for PyTorch☆24,098Sep 1, 2026Updated 3 weeks ago
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,801Mar 18, 2023Updated 3 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,284Jul 31, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Papers on Graph neural network(GNN)☆764Sep 18, 2023Updated 3 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,670Jun 22, 2023Updated 3 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,727Feb 2, 2024Updated 2 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,403Apr 14, 2023Updated 3 years ago
- A comprehensive collection of recent papers on graph deep learning☆3,103Dec 20, 2020Updated 5 years ago
- Graph Convolutional Networks in PyTorch☆5,397Sep 20, 2020Updated 6 years ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,553Apr 9, 2022Updated 4 years ago
- How Powerful are Graph Neural Networks?☆1,287Jul 1, 2021Updated 5 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,727Aug 4, 2024Updated 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.
- A list of recent papers about Graph Neural Network methods applied in NLP areas.☆903Sep 3, 2026Updated 2 weeks 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
- Build Graph Nets in Tensorflow☆5,406Dec 12, 2022Updated 3 years ago
- resources for graph convolutional networks （图卷积神经网络相关资源）☆907Jul 12, 2019Updated 7 years 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
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,122Jul 6, 2023Updated 3 years ago
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆855Jan 11, 2023Updated 3 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,095May 6, 2025Updated last year
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,278Mar 18, 2023Updated 3 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.
- Graph Convolutional Networks (GCNs)☆920Feb 9, 2018Updated 8 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆668Nov 1, 2022Updated 3 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆850Dec 13, 2021Updated 4 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆804Nov 6, 2022Updated 3 years ago
- A curated list of adversarial attacks and defenses papers on graph-structured data.☆861Dec 15, 2023Updated 2 years ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆475Aug 14, 2023Updated 3 years ago
- A curated list of awesome self-supervised methods☆6,426Feb 24, 2026Updated 6 months ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,821Feb 1, 2024Updated 2 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,237Mar 28, 2025Updated last year
- 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 Neural Network☆268Aug 6, 2021Updated 5 years ago
- Generate embeddings from large-scale graph-structured data.☆3,454Mar 3, 2024Updated 2 years ago
- Must-read papers on network representation learning (NRL) / network embedding (NE)☆2,513Aug 3, 2020Updated 6 years ago
- Simple reference implementation of GraphSAGE.☆1,054May 11, 2020Updated 6 years ago
- TensorFlow implementations of Graph Neural Networks☆927Nov 28, 2022Updated 3 years ago
- Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering☆1,367Jun 13, 2020Updated 6 years ago
- Spatio-temporal modeling 论文列表（主要是graph convolution相关)☆523Nov 7, 2019Updated 6 years ago