youngerous / dec-pytorchLinks
Unsupervised Deep Embedding for Clustering Analysis (DEC)
☆26Updated 4 years ago
Alternatives and similar repositories for dec-pytorch
Users that are interested in dec-pytorch are comparing it to the libraries listed below
Sorting:
- Implementation of Multi-View Information Bottleneck☆132Updated 5 years ago
- Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20☆57Updated 2 years ago
- The PyTorch official implementation of the CVPR2021 Poster Paper NNM: Nearest Neighbor Matching for Deep Clustering.☆58Updated 3 years ago
- This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".☆34Updated 3 years ago
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆38Updated 4 years ago
- AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators (AAAI 2022)☆48Updated 3 years ago
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…☆52Updated 5 years ago
- Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.…☆35Updated 3 years ago
- ☆42Updated 5 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆47Updated 4 years ago
- List of Publications in Graph Contrastive Learning☆34Updated 3 years ago
- Weakly Supervised Contrastive Learning☆43Updated 3 years ago
- Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"☆158Updated 5 years ago
- PyTorch implementation for "Few-Shot Learning with Class Imbalance"☆36Updated 4 years ago
- ☆58Updated 4 years ago
- PyTorch implementation of "Towards k-means-friendly spaces: Simultaneous deep learning and clustering," Bo Yang et al., 2017.☆17Updated 4 years ago
- [BMVC 2023] PyTorch Implementation of C3☆20Updated last year
- Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks☆30Updated 3 years ago
- The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]☆24Updated 3 years ago
- Collection of resources related with Graph Contrastive Learning.☆34Updated 4 years ago
- A pytorch implementation of the paper Unsupervised Deep Embedding for Clustering Analysis.☆144Updated 6 years ago
- Papers and Codes for the deep learning in hyperbolic space☆180Updated 3 years ago
- Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.☆55Updated 4 years ago
- Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Z…☆45Updated 5 years ago
- PyTorch Implementation of "Towards K-Means-Friendly Spaces: Simultaneous Deep Learning and Clustering," Bo Yang et al., ICML'2017.☆130Updated 4 years ago
- [ICLR 2022] Graph-Relational Domain Adaptation☆45Updated last year
- Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning☆90Updated last year
- Code for the paper "Twin Contrastive Learning for Online Clustering" (IJCV 2022)☆71Updated 2 years ago
- Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)☆34Updated 4 years ago
- C-Mixup for NeurIPS 2022☆73Updated last year