Data Mining Lab @ SSU

International Domestic
2026

  • A Comprehensive Survey on Multi-Behavior Recommender Systems: Extended Taxonomy and Recent Advances

    IJDSA
    Kyungho Kim, Sunwoo Kim, Geon Lee, Jinhong Jung, and Kijung Shin
    Jan 2026
    Paper BibTex Slide Code

  • Personalized Ranking on Cascading Behavior Graphs for Accurate Multi-Behavior Recommendation

    TIST
    Geonwoo Ko*, Minseo Jeon*, and Jinhong Jung
    May 2026
    Paper BibTex Slide Code

  • AlphaFree: Recommendation Free from Users, IDs, and GNNs

    WWW '26
    Minseo Jeon, Junwoo Jung, Daewon Gwak, and Jinhong Jung
    Apr 2026
    Paper BibTex Slide Code
2025

  • Effective and Lightweight Lossy Compression of Tensors: Techniques and Applications

    KAIS
    Jihoon Ko, Taehyung Kwon, Jinhong Jung, and Kijung Shin
    Jun 2025
    Paper BibTex Slide Code

  • Effective and Lightweight Representation Learning for Signed Bipartite Graphs

    NN
    Gyeongmin Gu*, Minseo Jeon*, Hyun-Je Song, and Jinhong Jung
    Jul 2025
    Paper BibTex Slide Code

  • SearchLight: Neural Architecture Search for Lightweight Spatio-Temporal Graph Neural Networks

    Access
    Heeyong Yoon, Jinhong Jung, Kang-Wook Chon, and MinSoo Kim
    Sep 2025
    Paper BibTex Slide Code

  • Multi-Behavior Recommender Systems: A Survey

    PAKDD '25
    Kyungho Kim, Sunwoo Kim, Geon Lee, Jinhong Jung, and Kijung Shin
    Jun 2025
    Paper BibTex Slide Code

  • AugWard: Augmentation-Aware Representation Learning for Accurate Graph Classification

    PAKDD '25
    Minjun Kim, Jaehyeon Choi, SeungJoo Lee, Jinhong Jung, and U Kang
    Jun 2025
    Paper BibTex Slide Code

  • PIGLET: Probabilistic Message Passing for Semi-supervised Link Sign Prediction

    ICDM '25
    Ka Hyun Park, Junghun Kim, Jinhong Jung, and U Kang
    Nov 2025
    Paper BibTex Slide Code
2024

  • Learning Disentangled Representations in Signed Directed Graphs without Social Assumptions

    InfSci
    Geonwoo Ko, and Jinhong Jung
    Feb 2024
    Paper BibTex Slide Code

  • Compact Lossy Compression of Tensors via Neural Tensor-Train Decomposition

    KAIS
    Taehyung Kwon, Jihoon Ko, Jun-gi Jang, Jinhong Jung, and Kijung Shin
    Oct 2024
    Paper BibTex Slide Code

  • Compact Decomposition of Irregular Tensors for Data Compression: From Sparse to Dense to High-Order Tensors

    KDD '24
    Taehyung Kwon, Jihoon Ko, Jinhong Jung, Jun-Gi Jang, and Kijung Shin
    Aug 2024
    Paper BibTex Slide Code

  • MuLe: Multi-Grained Graph Learning for Multi-Behavior Recommendation

    CIKM '24
    Seunghan Lee*, Geonwoo Ko*, Hyun-Je Song, and Jinhong Jung
    Oct 2024
    Paper BibTex Slide Code

  • ELiCiT: Effective and Lightweight Lossy Compression of Tensors

    ICDM '24
    Jihoon Ko, Taehyung Kwon, Jinhong Jung, Jun-Gi Jang, and Kijung Shin
    Dec 2024
    Paper BibTex Slide Code
2023

  • Random Walk with Restart on Hypergraphs: Fast Computation and an Application to Anomaly Detection

    DMKD
    Jaewan Chun, Geon Lee, Kijung Shin, and Jinhong Jung
    Dec 2023
    Paper BibTex Slide Code

  • Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning

    AAAI '23
    Jong-whi Lee, and Jinhong Jung
    Feb 2023
    Paper BibTex Slide Code

  • NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors

    WWW '23
    Taehyung Kwon*, Jihoon Ko*, Jinhong Jung, and Kijung Shin
    Apr 2023
    Paper BibTex Slide Code

  • TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions

    ICDM '23
    Taehyung Kwon, Jihoon Ko, Jinhong Jung, and Kijung Shin
    Dec 2023
    Paper BibTex Slide Code
2022

  • Signed Random Walk Diffusion for Effective Representation Learning in Signed Graphs

    PLOS ONE
    Jinhong Jung, Jaemin Yoo, and U Kang
    Mar 2022
    Paper BibTex Slide Code

  • Accurate Node Feature Estimation with Structured Variational Graph Autoencoder

    KDD '22
    Jaemin Yoo, Hyunsik Jeon, Jinhong Jung, and U Kang
    Aug 2022
    Paper BibTex Slide Code
2021

  • Compressing Deep Graph Convolution Network with Multi-Staged Knowledge Distillation

    PLOS ONE
    Junghun Kim, Jinhong Jung, and U Kang
    Aug 2021
    Paper BibTex Slide Code

  • Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion

    KDD '21
    Jaehun Jung, Jinhong Jung, and U Kang
    Aug 2021
    Paper BibTex Slide Code
2020

  • Accurate Relational Reasoning in Edge-labeled Graphs by Multi-Labeled Random Walk with Restart

    WWWJ
    Jinhong Jung, Woojeong Jin, Ha-Myung Park, and U Kang
    May 2020
    Paper BibTex Slide Code

  • Fast and Accurate Pseudoinverse with Sparse Matrix Reordering and Incremental Approach

    ML
    Jinhong Jung, and Lee Sael
    Oct 2020
    Paper BibTex Slide Code

  • BalanSiNG: Fast and Scalable Generation of Realistic Signed Networks

    EDBT '20
    Jinhong Jung, Ha-Myung Park, and U Kang
    Mar 2020
    Paper BibTex Slide Code
2025

  • Residual Quantization-Based Reweighting for Implicit Feedback Denoising

    KDBC '25
    Minseo Jeon*, Sunuk Kim*, and Jinhong Jung
    Nov 2025
    Paper Slide Code

  • Recommender System with Item Language Semantics and Knowledge Graphs

    KDBC '25
    Jaehyun Park, Daewon Gwak, and Jinhong Jung
    Nov 2025
    Paper Slide Code

  • Sequential Recommendation with LLM Reranking by Integrating Collaborative Filtering and Textual Semantics

    KDBC '25
    Junwoo Jung, and Jinhong Jung
    Nov 2025
    Paper Slide Code

  • Learning Recommender Systems with User Preference Based Soft Label Negative Sampling

    KDBC '25
    Jiseung Hyun*, Jongyoon Choi*, and Jinhong Jung
    Nov 2025
    Paper Slide Code
2024

  • Effective Sequential Recommender System with User Sentiment Feedbacks

    KDBC '24
    Junwoo Jung*, Cheolhee Jung*, and Jinhong Jung
    Nov 2024
    Paper Slide Code

  • Effective Representation Learning on Hypergraphs with Personalized PageRank

    KDBC '24
    Daewon Gwak, and Jinhong Jung
    Nov 2024
    Paper Slide Code

  • Signed Bipartite Graph Neural Network using Personalized Propagation

    KSC '24
    Gyeong-Min Gu, Minseo Jeon, Hyun-Je Song, and Jinhong Jung
    Dec 2024
    Paper Slide Code

Abstract

Contribution