This repository implements variational graph auto encoder by Thomas Kipf.
☆420Sep 20, 2021Updated 4 years ago
Alternatives and similar repositories for vgae_pytorch
Users that are interested in vgae_pytorch 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 Auto-Encoder in PyTorch☆447Mar 17, 2024Updated 2 years ago
- Implementation of Graph Auto-Encoders in TensorFlow☆1,732Jan 3, 2020Updated 6 years ago
- Graph Auto-Encoder in PyTorch☆81Apr 14, 2023Updated 2 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆73May 20, 2018Updated 7 years ago
- An VGAE implementation using pytorch geometric.☆49Jun 6, 2020Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- This repository shows an implementation of the VGAE based model with PyTorch.☆11Sep 30, 2022Updated 3 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆347Apr 25, 2024Updated last year
- Reimplementation of paper "Variational Graph Auto-Encoders", adapted from https://github.com/limaosen0/Variational-Graph-Auto-Encoders/, …☆13Apr 28, 2020Updated 5 years ago
- Graph Attention Auto-Encoders☆80Mar 24, 2023Updated 3 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆681Oct 3, 2023Updated 2 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆114Jul 6, 2023Updated 2 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆665Nov 1, 2022Updated 3 years ago
- Pytorch implementation of a RGCN Link Prediction Model☆265Aug 19, 2021Updated 4 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆136Oct 12, 2020Updated 5 years ago
- 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.
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆187Feb 28, 2022Updated 4 years ago
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆581Apr 12, 2023Updated 2 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,080Feb 15, 2023Updated 3 years ago
- (CIKM'21) Variational Graph Normalized Auto-Encoders☆38Mar 8, 2022Updated 4 years ago
- Reimplementation of Graph Embedding methods by Pytorch.☆178May 23, 2022Updated 3 years ago
- ☆101Oct 19, 2022Updated 3 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆358Jul 9, 2020Updated 5 years ago
- ☆14Jun 14, 2021Updated 4 years ago
- Tensorflow 2.0 implementation of "Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning" in ICCV2019☆45Jan 4, 2020Updated 6 years ago
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- ☆303Jul 17, 2022Updated 3 years ago
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆39Oct 17, 2023Updated 2 years ago
- ☆46Aug 14, 2017Updated 8 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆304May 12, 2023Updated 2 years ago
- ☆11Jan 28, 2023Updated 3 years ago
- Graph Convolutional Networks in PyTorch☆5,397Sep 20, 2020Updated 5 years ago
- CIKM 23 Oral - HoLe: Homophily-enhanced Structure Learning for Graph Clustering☆10Feb 29, 2024Updated 2 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆474Dec 7, 2022Updated 3 years ago
- A Pytorch implementation of Semi-implicit-graph-variational-auto-encoders☆14May 2, 2020Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- Strategies for Pre-training Graph Neural Networks☆1,054Jul 29, 2023Updated 2 years ago
- Sample code for Constrained Graph Variational Autoencoders☆240Jun 3, 2023Updated 2 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆903Dec 20, 2023Updated 2 years ago
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,117Jul 6, 2023Updated 2 years ago
- ☆140Jul 9, 2023Updated 2 years ago
- Structural Deep Clustering Network☆290Jul 6, 2023Updated 2 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,715Feb 2, 2024Updated 2 years ago