3 papers
cs.LG2026
Toward Reasoning on the Boundary: A Mixup-based Approach for Graph Anomaly Detection
Hwan Kim, Junghoon Kim, Sungsu Lim
While GNN-based detection methods excel at identifying overt outliers, they often struggle with boundary anomalies -- subtly camouflaged nodes that are difficult to distinguish fro…
cs.SI2025
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…
cs.SI2025
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…