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AHCKA includes a carefully-crafted K-nearest neighbor augmentation strategy for the optimized exploitation of attribute information on hypergraphs, a joint hypergraph random walk model to devise an effective AHC objective, and an efficient solver with speedup techniques for the objective optimization.
Aug 10, 2024
A versatile framework for attributed network clustering via K-nearest ...
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Sep 16, 2024 · We develop ANCKA as a versatile attributed network clustering framework, capable of attributed graph clustering, attributed multiplex graph clustering, and AHC.
Sep 16, 2024 · includes a carefully-crafted K-nearest neighbor augmentation strategy for the optimized exploitation of attribute information on hypergraphs, a ...
Aug 15, 2024 · AHCKA includes a carefully-crafted K-nearest neighbor augmentation strategy for the optimized exploitation of attribute information on ...
The proposed techniques are extensible to various types of attributed networks, and thus, we develop ANCKA as a versatile attributed network clustering ...
A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor Augmentation. Published in The VLDB Journal, 2024 ...
ANCKA: A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor Augmentation. This repository contains the ANCKA clustering framework ...
Aug 10, 2024 · A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor Augmentation ... In this paper, we first present AHCKA as an ...
Discretize-GPU. A versatile framework for attributed network clustering via K-nearest neighbor augmentation. Article. Full-text available. Sep 2024.
A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor Augmentation ... In this paper, we first present AHCKA as an efficient approach to ...