publications

*: equal contribution | P: Preprint, J: Journal, C: Conference

2026

  1. P2
    Geometric Learning for Predicting Functional Connectivity on Folded Cortical Surfaces
    Hyunju Kim, Michael Arcaro, and Nabil Imam
    Under review, 2026
  2. P1
    Geometric Constraints in the Development of Primate Extrastriate Visual Cortex
    Hyunju Kim, Michael Arcaro, and Nabil Imam
    Under review, 2026
  3. J3
    Four-Set Hypergraphlets for Characterization of Directed Hypergraphs
    Heechan Moon*, Hyunju Kim*, Sunwoo Kim, and Kijung Shin
    IEEE Transactions on Knowledge and Data Engineering, 2026

2025

  1. C3
    DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation
    Junghun Lee, Hyunju Kim, Fanchen Bu, Jihoon Ko, and Kijung Shin
    In AAAI, 2025

2024

  1. J2
    Estimating Simplet Counts via Sampling
    Hyunju Kim*, Heechan Moon*, Sunwoo Kim, and Kijung Shin
    The VLDB Journal, 2024
  2. C2
    FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer
    Dongyeong Hwang, Hyunju Kim, Sunwoo Kim, and Kijung Shin
    In CVPR, 2024

2023

  1. J1
    Hypergraph Motifs and their Extensions beyond Binary
    Geon Lee*, Seokbum Yoon*, Jihoon Ko, Hyunju Kim, and Kijung Shin
    The VLDB Journal, 2023
  2. C1
    Characterization of Simplicial Complexes by Counting Simplets beyond Four Nodes
    Hyunju Kim, Jihoon Ko, Fanchen Bu, and Kijung Shin
    In WWW, 2023