Selected Publications

[C:Conference, J:Journal, P:Preprint]

  • [J3] A Survey on Centrality and Importance Measures in Hypergraphs: Categorization and Empirical Insights.
    Jaewan Chun*, Fanchen Bu*, Yeongho Kim, Atsushi Miauchi, Francesco Bonchi, and Kijung Shin
    ACM Computing Surveys, 2026
    Paper · Code

  • [P1] Automating and Scaling Behavioral Scientific Research on AI Agents.
    Soo Yong Lee*, Jongha Lee*, Jaewan Chun, Hyunjin Hwang, Fanchen Bu, Ziv Ben-Zion, Taekwan Kim, Denny Borsboom, Jaemin Yoo, and Kijung Shin
    arXiv 2608.10030
    Paper

  • [J2] From binary to general attributes: attributed hypergraph generation with realistic interplay between structure and attributes.
    Jaewan Chun, Seokbum Yoon, Minyoung Choe, Geon Lee, and Kijung Shin
    Knowledge and Information Systems, 2026.
    Invited as one of the best-ranked papers of ICDM 2025
    Paper · Code · Slides · shorter ver. [C1]

  • [C1] Attributed Hypergraph Generation with Realistic Interplay Between Structure and Attributes.
    Jaewan Chun*, Seokbum Yoon*, Minyoung Choe, Geon Lee, and Kijung Shin
    IEEE International Conference on Data Mining (ICDM) 2025 (Full paper acceptance rate = 13.5%).
    Received the IEEE ICDM Best Paper Award [Link]
    Selected as one of the best-ranked papers of ICDM 2025 for fast-track journal invitation [J2]
    Published to the Sister Conferences’ Best Paper Track of IJCAI 2026 by invitation with an extended abstract
    Paper · Code · Slides · Poster · Extended Abstract (IJCAI’ 26)

  • [J1] Random Walk with Restart on Hypergraphs: Fast Computation and an Application to Anomaly Detection.
    Jaewan Chun, Geon Lee, Kijung Shin†, and Jinhong Jung†
    Data Mining and Knowledge Discovery, 2023 (part of ECML PKDD 2024 Journal Track).
    Paper · Code · Slides · Poster