Implementation of Graph Auto-Encoders in TensorFlow
☆1,735Jan 3, 2020Updated 6 years ago
Alternatives and similar repositories for gae
Users that are interested in gae 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 Convolutional Networks in TensorFlow☆7,365Apr 14, 2023Updated 3 years ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆421Sep 20, 2021Updated 4 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆186Feb 28, 2022Updated 4 years ago
- Graph Auto-Encoder in PyTorch☆81Apr 14, 2023Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Representation learning on large graphs using stochastic graph convolutions.☆3,678Aug 4, 2024Updated last year
- Graph Convolutional Networks in PyTorch☆5,396Sep 20, 2020Updated 5 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
- Semi-supervised learning with graph embeddings☆950Mar 5, 2020Updated 6 years ago
- Keras-based implementation of Relational Graph Convolutional Networks☆817Jul 2, 2019Updated 6 years ago
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆255Jul 18, 2019Updated 6 years ago
- Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering☆1,368Jun 13, 2020Updated 5 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
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,261Jul 31, 2025Updated 8 months 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.
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,510Apr 9, 2022Updated 4 years ago
- Graph Neural Network Library for PyTorch☆23,669Updated this week
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆665Nov 1, 2022Updated 3 years ago
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆734Jan 20, 2022Updated 4 years ago
- ☆416Nov 15, 2018Updated 7 years ago
- Keras implementation of Graph Convolutional Networks☆794Apr 19, 2021Updated 4 years ago
- DeepWalk - Deep Learning for Graphs☆2,753Jun 14, 2023Updated 2 years ago
- How Powerful are Graph Neural Networks?☆1,280Jul 1, 2021Updated 4 years ago
- Build Graph Nets in Tensorflow☆5,394Dec 12, 2022Updated 3 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.
- Neural relational inference for interacting systems - pytorch☆770Nov 19, 2019Updated 6 years ago
- Simple reference implementation of GraphSAGE.☆1,044May 11, 2020Updated 5 years ago
- ☆2,720Jul 21, 2022Updated 3 years ago
- Must-read papers on graph neural networks (GNN)☆16,735Dec 20, 2023Updated 2 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Jul 6, 2023Updated 2 years ago
- Graph Attention Auto-Encoders☆80Mar 24, 2023Updated 3 years ago
- links to conference publications in graph-based deep learning☆5,041Feb 7, 2026Updated 2 months ago
- A curated list of network embedding techniques.☆2,624Dec 8, 2020Updated 5 years ago
- A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)☆539Nov 22, 2019Updated 6 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆848Dec 13, 2021Updated 4 years ago
- Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.☆63Jan 31, 2023Updated 3 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆529Mar 25, 2021Updated 5 years ago
- An Open-Source Package for Network Embedding (NE)☆1,704Jan 10, 2024Updated 2 years ago
- ☆1,286Nov 5, 2023Updated 2 years ago
- A collection of important graph embedding, classification and representation learning papers with implementations.☆4,807Mar 18, 2023Updated 3 years ago
- SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural…☆670Jun 21, 2022Updated 3 years ago