8 citations · 14 across the 4 of their papers we have counts for
5 papers
Experimental Analysis and Evaluation of Cohesive Subgraph Discovery
Dahee Kim, Song Kim, Jeongseon Kim +4
Retrieving cohesive subgraphs in networks is a fundamental problem in social network analysis and graph data management. These subgraphs can be used for marketing strategies or rec…
Uncovering High-Order Cohesive Structures: Efficient (k,g)-Core Computation and Decomposition for Large Hypergraphs
Dahee Kim, Hyewon Kim, Song Kim +4
Hypergraphs, increasingly utilised to model complex and diverse relationships in modern networks, have gained significant attention for representing intricate higher-order interact…
Cohesive Subgraph Discovery in Hypergraphs: A Locality-Driven Indexing Framework
Song Kim, Dahee Kim, Taejoon Han +3
Hypergraphs, increasingly utilised for modelling complex and diverse relationships in modern networks, gain much attention representing intricate higher-order interactions. Among v…
Beyond Trivial Edges: A Fractional Approach to Cohesive Subgraph Detection in Hypergraphs
Hyewon Kim, Woocheol Shin, Dahee Kim +3
Hypergraphs serve as a powerful tool for modeling complex relationships across domains like social networks, transactions, and recommendation systems. The (k,g)-core model effectiv…
Exploring Cohesive Subgraphs in Hypergraphs: The (k,g)-core Approach
Dahee Kim, Junghoon Kim, Sungsu Lim +1
Identifying cohesive subgraphs in hypergraphs is a fundamental problem that has received recent attention in data mining and engineering fields. Existing approaches mainly focus on…