This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.
☆73May 20, 2018Updated 7 years ago
Alternatives and similar repositories for Variational-Graph-Auto-Encoders
Users that are interested in Variational-Graph-Auto-Encoders are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)☆26May 21, 2019Updated 6 years ago
- Column Networks for Collective Classification: A novel deep learning model for collective classification in multi-relational domains☆12Nov 22, 2016Updated 9 years ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆421Sep 20, 2021Updated 4 years ago
- Reimplementation of paper "Variational Graph Auto-Encoders", adapted from https://github.com/limaosen0/Variational-Graph-Auto-Encoders/, …☆13Apr 28, 2020Updated 6 years ago
- Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hen…☆46Dec 14, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Source Code of DNGR☆42Feb 21, 2017Updated 9 years ago
- Implementation of Graph Auto-Encoders in TensorFlow☆1,738Jan 3, 2020Updated 6 years ago
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆255Jul 18, 2019Updated 6 years ago
- project GCN-VAE for knowledge graphs☆16Aug 27, 2020Updated 5 years ago
- The code of APP, Scalable Graph Embedding for Asymmetric Proximity. Zhou, Chang and Liu, Yuqiong and Liu, Xiaofei and Liu, Zhongyi and Ga…☆11Nov 11, 2018Updated 7 years ago
- GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks☆13Aug 13, 2021Updated 4 years ago
- The implementation of our paper: Improving Top-K Recommendation via Joint Collaborative Autoencoders☆14Apr 28, 2020Updated 6 years ago
- ☆137Jun 16, 2020Updated 5 years ago
- Learned User Representations in Online Social Networks (Twitter) using Temporal Dynamics of Information Diffusion.☆10Oct 15, 2018Updated 7 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 Auto-Encoder in PyTorch☆81Apr 14, 2023Updated 3 years ago
- Relation learning on content-rich diffusion networks☆12Feb 6, 2019Updated 7 years ago
- Learning Steady-States of Iterative Algorithms over Graphs☆40Sep 12, 2018Updated 7 years ago
- Semantics-Aware Autoencoder Neural Network☆17Jan 19, 2020Updated 6 years ago
- D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019☆146Sep 23, 2020Updated 5 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
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆530Mar 25, 2021Updated 5 years ago
- source code for “Preference-Adaptive Meta-Learning for Cold-Start Recommendation” (IJCAI 2021)☆17Dec 28, 2021Updated 4 years ago
- Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications☆19Jul 20, 2020Updated 5 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.
- ☆430Mar 8, 2019Updated 7 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆58May 22, 2019Updated 6 years ago
- Dual Graph Convolution Networks