nairouz / DynAE
☆30Updated 3 years ago
Alternatives and similar repositories for DynAE:
Users that are interested in DynAE are comparing it to the libraries listed below
- A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …☆130Updated last year
- ☆54Updated 5 years ago
- Latent space clustering in Generative Adversarial Network (GAN)☆104Updated 3 years ago
- Pytorch implementation of Improved Deep Embedded Clustering☆101Updated 6 years ago
- Tensorflow 2.0 implementation of "Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning" in ICCV2019☆45Updated 5 years ago
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…☆50Updated 4 years ago
- ☆94Updated 6 years ago
- Updated version of DCN☆82Updated 2 years ago
- Generating PGM Explanation for GNN predictions☆74Updated last year
- Implementation of the CIKM-17 paper “MGAE: Marginalized Graph Autoencoder for Graph Clustering”☆28Updated 2 years ago
- ☆24Updated 5 years ago
- ☆159Updated 7 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated last year
- Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of var…☆41Updated last year
- ☆58Updated 2 years ago
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆40Updated 5 years ago
- Source code from the article "FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding" by G. Salha, R. Hennequin, J.B. Rem…☆26Updated 2 years ago
- The official implementation of the Graph Barlow Twins method with the experimental pipeline☆30Updated last year
- Implementation of Deep Soft-K means☆28Updated 3 years ago
- Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.☆66Updated last year
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆48Updated 3 years ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Updated 2 years ago
- Tensorflow implementation of "Deep Multimodal Subspace Clustering Networks"☆70Updated 5 years ago
- ☆22Updated 6 years ago
- ☆25Updated 2 years ago
- The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.☆32Updated 5 months ago
- ☆18Updated 3 years ago
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆57Updated 4 years ago
- Tensorflow implementation of Deep Embedded Clustering (DEC) for unsupervised learning☆20Updated 7 years ago
- Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)☆26Updated last year