limaosen0 / Variational-Graph-Auto-Encoders
This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.
☆75Updated 6 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
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆184Updated 3 years ago
- Graph Auto-Encoder in PyTorch☆81Updated last year
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆121Updated 10 months ago
- An implementation of "Graph Structural-topic Neural Network"☆72Updated 4 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated last year
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆132Updated 4 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆138Updated 6 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆113Updated 4 years ago
- Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.☆86Updated 5 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆148Updated last year
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 6 years ago
- ☆136Updated 4 years ago
- Official code for "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning" (NeurIPS 2019)☆45Updated last year
- Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"☆55Updated 4 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆100Updated 4 years ago
- Re-Implement "Graph Convolutional Matrix Completion" (PyTorch and PyTorch Geometric)☆154Updated 7 months ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 4 years ago
- HDGI code☆61Updated 5 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hen…☆44Updated last year
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆226Updated last year
- ☆29Updated 4 years ago
- ☆50Updated 3 years ago
- source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)☆54Updated last year
- Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction☆55Updated 6 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆193Updated 4 years ago
- Stochastic training of graph convolutional networks☆84Updated 2 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 3 years ago