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Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Created
2021-11-24
410 commits to main branch, last one 27 days ago
Structural Deep Clustering Network
Created
2020-02-12
29 commits to master branch, last one 3 years ago
[AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.
Created
2022-11-29
15 commits to main branch, last one about a year ago
[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.
Created
2021-12-09
38 commits to main branch, last one about a year ago
Papers for Open Knowledge Discovery
Created
2020-09-23
126 commits to master branch, last one 11 months ago
This project is a scalable unified framework for deep graph clustering.
Created
2023-04-28
75 commits to main branch, last one 3 months ago
AAAI 2021-Deep Fusion Clustering Network
Created
2020-12-04
92 commits to master branch, last one 8 months ago
A very simple self-supervised image classification framework!
Created
2021-05-10
2 commits to main branch, last one 3 years ago
Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of variational autoencoders to find multiple disentangled clusterings...
Created
2021-05-31
9 commits to main branch, last one about a year ago