Alternatives and similar repositories for dec-pytorch

Users that are interested in dec-pytorch are comparing it to the libraries listed below

• guenthereder / Deep-Clustering-Network
  PyTorch implementation of "Towards k-means-friendly spaces: Simultaneous deep learning and clustering," Bo Yang et al., 2017.
  ☆17Updated 4 years ago
• Armanfard-Lab / C3
  [BMVC 2023] PyTorch Implementation of C3
  ☆20Updated last year
• lauramanduchi / DC-GMM
  This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".
  ☆34Updated 3 years ago
• CheriseZhu / GIL
  The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)
  ☆46Updated 4 years ago
• zxj32 / uncertainty-GNN
  Uncertainty Aware Semi-Supervised Learning on Graph Data
  ☆40Updated 4 years ago
• cshjin / GCL
  List of Publications in Graph Contrastive Learning
  ☆35Updated 3 years ago
• ngoc-nguyen-0 / DGG
  Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…
  ☆53Updated 5 years ago
• nairouz / R-GAE
  ☆60Updated 2 years ago
• flyingtango / DiGCL
  The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021
  ☆36Updated 3 years ago
• ChandlerBang / SelfTask-GNN
  Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"
  ☆97Updated last year
• ihollywhy / DistillGCN.PyTorch
  Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20
  ☆57Updated 2 years ago
• yang-han / P-reg
  Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)
  ☆34Updated 4 years ago
• sseung0703 / GALA_TF2.0
  Tensorflow 2.0 implementation of "Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning" in ICCV2019
  ☆45Updated 5 years ago
• WanyuGroup / CVPR2022-OrphicX
  Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.…
  ☆34Updated 3 years ago
• mtang724 / NWR-GAE
  ☆39Updated 2 years ago
• matenure / OTCoarsening
  Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
  ☆37Updated 4 years ago
• Deepayan137 / DeepClustering
  A pytorch implementation of the paper Unsupervised Deep Embedding for Clustering Analysis.
  ☆142Updated 6 years ago
• CrawlScript / Awesome-Graph-Contrastive-Learning
  Collection of resources related with Graph Contrastive Learning.
  ☆34Updated 4 years ago
• ChandlerBang / AutoSSL
  [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"
  ☆42Updated 2 years ago
• Namkyeong / BGRL_Pytorch
  Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"
  ☆80Updated 3 years ago
• YuWang-1024 / ContrastVAE
  ☆37Updated 2 years ago
• se-ok / WLsimilarity
  informal exposition of Weisfeiler-Leman similarity
  ☆28Updated 4 years ago
• WxTu / DFCN
  AAAI 2021-Deep Fusion Clustering Network
  ☆81Updated last year
• HongtengXu / gwl
  Gromov-Wasserstein Learning for Graph Matching and Node Embedding
  ☆72Updated 5 years ago
• SherylHYX / GNNRank
  Official code for the ICML2022 paper -- GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
  ☆54Updated 2 years ago
• RingBDStack / ACE-HGNN
  Code for “ACE-HGNN: Adaptive Curvature ExplorationHyperbolic Graph Neural Network”
  ☆15Updated 3 years ago
• mfederici / Multi-View-Information-Bottleneck
  Implementation of Multi-View Information Bottleneck
  ☆133Updated 5 years ago
• Shen-Lab / SS-GCNs
  [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
  ☆110Updated 4 years ago
• scottshufe / Awesome-Graph-Contrastive-Learning
  A collection of graph contrastive learning methods.
  ☆18Updated 3 years ago
• yanghu819 / Graph-MLP
  ☆76Updated 3 years ago