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SCGC : Self-Supervised Contrastive Graph Clustering

SCGC : Self-Supervised Contrastive Graph Clustering

Neurocomputing (Neurocomputing), 2022
27 April 2022
Gayan K. Kulatilleke
Marius Portmann
Shekhar S. Chandra
ArXiv (abs)PDFHTMLGithub (22★)

Papers citing "SCGC : Self-Supervised Contrastive Graph Clustering"

4 / 4 papers shown
Attributed Graph Clustering with Multi-Scale Weight-Based Pairwise Coarsening and Contrastive Learning
Attributed Graph Clustering with Multi-Scale Weight-Based Pairwise Coarsening and Contrastive Learning
Binxiong Li
Yuefei Wang
Binyu Zhao
Heyang Gao
Benhan Yang
Quanzhou Luo
Xue Li
Xu Xiang
Yujie Liu
Huijie Tang
176
2
0
28 Jul 2025
NBC-Softmax : Darkweb Author fingerprinting and migration tracking
NBC-Softmax : Darkweb Author fingerprinting and migration tracking
Gayan K. Kulatilleke
Shekhar S. Chandra
Marius Portmann
166
0
0
15 Dec 2022
Efficient block contrastive learning via parameter-free meta-node
  approximation
Efficient block contrastive learning via parameter-free meta-node approximationNeurocomputing (Neurocomputing), 2022
Gayan K. Kulatilleke
Marius Portmann
Shekhar S. Chandra
294
3
0
28 Sep 2022
XG-BoT: An Explainable Deep Graph Neural Network for Botnet Detection
  and Forensics
XG-BoT: An Explainable Deep Graph Neural Network for Botnet Detection and ForensicsInternet of Things (IoT), 2022
Wai Weng Lo
Gayan K. Kulatilleke
Mohanad Sarhan
S. Layeghy
Marius Portmann
423
61
0
19 Jul 2022
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