sunfanyunn / vGraph
Official code for "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning" (NeurIPS 2019)
☆45Updated last year
Alternatives and similar repositories for vGraph:
Users that are interested in vGraph 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
- HDGI code☆61Updated 4 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 6 months ago
- A tensorflow implementation of GCN-LPA☆99Updated 4 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆148Updated last year
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- A tensorflow implementation of CommunityGAN (Community Detection with Generative Adversarial Nets)☆79Updated 6 years ago
- source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)☆55Updated last year
- Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.☆54Updated 5 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
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆155Updated last year
- Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"☆112Updated 3 years ago
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆60Updated 3 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆74Updated 6 years ago
- Accelerated Attributed Network Embedding, SDM 2017☆50Updated 4 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆113Updated 4 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆120Updated 9 months ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆57Updated 4 years ago
- Stochastic training of graph convolutional networks☆85Updated 2 years ago
- Implementation for Simple Spectral Graph Convolution in ICLR 2021☆82Updated 2 years ago
- the Implementation of "Structural Deep Embedding for Hyper-Networks"（AAA20I8）☆45Updated 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
- ☆294Updated 2 years ago
- Variational Graph Recurrent Neural Networks - PyTorch☆115Updated 4 years 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
- Implementation of Meta-GNN in TensorFlow☆47Updated 3 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆209Updated 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
- ☆29Updated 4 years ago