limaosen0 / Variational-Graph-Auto-Encoders
This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.
☆74Updated 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., …☆185Updated 2 years ago
- Graph Auto-Encoder in PyTorch☆81Updated last year
- Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.☆54Updated 5 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆120Updated 9 months 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
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 6 years ago
- ☆136Updated 4 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆100Updated 4 years ago
- Adversarial Training Methods for Network Embedding, WWW2019.☆27Updated 5 years ago
- An implementation of "Graph Structural-topic Neural Network"☆72Updated 4 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆139Updated 6 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆226Updated last year
- Stochastic training of graph convolutional networks☆85Updated 2 years ago
- The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)☆26Updated 5 years ago
- ☆29Updated 4 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆194Updated 11 months ago
- Variational Graph Recurrent Neural Networks - PyTorch☆116Updated 4 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆113Updated 4 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 3 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆148Updated last year
- Official code for "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning" (NeurIPS 2019)☆45Updated last year
- A tensorflow implementation of GCN-LPA☆99Updated 5 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆194Updated 4 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- Meta-Learning for Few Shot Link Prediction☆49Updated 4 years ago
- Representation Learning on Graphs with Jumping Knowledge Networks☆38Updated 5 years ago
- Re-Implement "Graph Convolutional Matrix Completion" (PyTorch and PyTorch Geometric)☆154Updated 6 months ago