PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
☆1,237Mar 28, 2025Updated last year
Alternatives and similar repositories for graph_nets
Users that are interested in graph_nets are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆856Jan 11, 2023Updated 3 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆687Oct 3, 2023Updated 3 years ago
- Discussions on papers, frameworks, blogs and ideas every Saturday.☆60Aug 21, 2021Updated 5 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
- 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.
- Web-based Tool for visualisation and generation of adversarial examples by attacking ImageNet Models like VGG, AlexNet, ResNet etc.☆58Jul 15, 2023Updated 3 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☆24,130Oct 21, 2026Updated last week
- Must-read papers on graph neural networks (GNN)☆16,848Dec 20, 2023Updated 2 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,289Jul 31, 2025Updated last year
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,820Feb 1, 2024Updated 2 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆803Nov 6, 2022Updated 3 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,729Aug 4, 2024Updated 2 years ago
- links to conference publications in graph-based deep learning☆5,110Oct 20, 2026Updated last week
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆508Aug 12, 2022Updated 4 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆679Aug 16, 2022Updated 4 years ago
- Implementation and experiments of graph embedding algorithms.☆3,844Apr 26, 2026Updated 6 months ago
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,806Mar 18, 2023Updated 3 years ago
- Simple reference implementation of GraphSAGE.☆1,052May 11, 2020Updated 6 years ago
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆442Nov 5, 2020Updated 5 years ago
- TGN: Temporal Graph Networks☆1,214May 28, 2024Updated 2 years ago
- Graph Convolutional Networks in PyTorch☆5,398Sep 20, 2020Updated 6 years ago
- Strategies for Pre-training Graph Neural Networks☆1,072Jul 29, 2023Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆620Oct 11, 2021Updated 5 years ago
- gnn explainer☆1,063Aug 30, 2024Updated 2 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification" (ICLR 2020)☆402Jun 17, 2024Updated 2 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆367Jul 9, 2020Updated 6 years ago
- How Powerful are Graph Neural Networks?☆1,287Jul 1, 2021Updated 5 years ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆262Aug 25, 2020Updated 6 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆478Dec 7, 2022Updated 3 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆357Apr 25, 2024Updated 2 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆668Nov 1, 2022Updated 4 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆495Dec 5, 2018Updated 7 years ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,559Apr 9, 2022Updated 4 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆309May 12, 2023Updated 3 years ago
- 《深入浅出图神经网络：GNN原理解析》配套代码☆1,928Feb 24, 2021Updated 5 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆358Jun 12, 2025Updated last year
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆475Aug 14, 2023Updated 3 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 4 years ago