Jinhong Jung

50 papers A* 11A 2B 1Journal 30Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
A comprehensive survey on multi-behavior recommender systems: extended taxonomy and recent advances.
Int. J. Data Sci. Anal.
Kyungho Kim, Sunwoo Kim, Geon Lee, Jinhong Jung, Kijung Shin
2026 A* conf
AlphaFree: Recommendation Free from Users, IDs, and GNNs.
WWW
Minseo Jeon, Junwoo Jung, Daewon Gwak, Jinhong Jung
2026 J jnl
AlphaFree: Recommendation Free from Users, IDs, and GNNs.
CoRR
Minseo Jeon, Junwoo Jung, Daewon Gwak, Jinhong Jung
2025 — conf
AugWard: Augmentation-Aware Representation Learning for Accurate Graph Classification.
PAKDD (2)
Minjun Kim, Jaehyeon Choi, Seungjoo Lee, Jinhong Jung, U Kang
2025 J jnl
AugWard: Augmentation-Aware Representation Learning for Accurate Graph Classification.
CoRR
Minjun Kim, Jaehyeon Choi, Seungjoo Lee, Jinhong Jung, U Kang
2025 J jnl
Compact lossy compression of tensors via neural tensor-train decomposition.
Knowl. Inf. Syst.
Taehyung Kwon, Jihoon Ko, Jinhong Jung, Jun-Gi Jang, Kijung Shin
2025 J jnl
Effective and lightweight lossy compression of tensors: techniques and applications.
Knowl. Inf. Syst.
Jihoon Ko, Taehyung Kwon, Jinhong Jung, Kijung Shin
2025 J jnl
Effective and lightweight representation learning for signed bipartite graphs.
Neural Networks
Gyeongmin Gu, Minseo Jeon, Hyun-Je Song, Jinhong Jung
2025 J jnl
Multi-Behavior Recommender Systems: A Survey.
CoRR
Kyungho Kim, Sunwoo Kim, Geon Lee, Jinhong Jung, Kijung Shin
2025 — conf
Multi-behavior Recommender Systems: A Survey.
PAKDD (4)
Kyungho Kim, Sunwoo Kim, Geon Lee, Jinhong Jung, Kijung Shin
2025 J jnl
Personalized Ranking on Cascading Behavior Graphs for Accurate Multi-Behavior Recommendation.
CoRR
Geonwoo Ko, Minseo Jeon, Jinhong Jung
2025 A* conf
PiGLeT: Probabilistic Message Passing for Semi-Supervised Link Sign Prediction.
ICDM
Ka Hyun Park, Junghun Kim, Jinhong Jung, U Kang
2025 J jnl
SearchLight: Neural Architecture Search for Lightweight Spatio-Temporal Graph Neural Networks.
IEEE Access
Heeyong Yoon, Jinhong Jung, Kang-Wook Chon, Min-Soo Kim
2024 A* conf
Compact Decomposition of Irregular Tensors for Data Compression: From Sparse to Dense to High-Order Tensors.
KDD
Taehyung Kwon, Jihoon Ko, Jinhong Jung, Jun-Gi Jang, Kijung Shin
2024 A* conf
ELiCiT: Effective and Lightweight Lossy Compression of Tensors.
ICDM
Jihoon Ko, Taehyung Kwon, Jinhong Jung, Kijung Shin
2024 J jnl
Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs.
CoRR
Gyeongmin Gu, Minseo Jeon, Hyun-Je Song, Jinhong Jung
2024 J jnl
Learning disentangled representations in signed directed graphs without social assumptions.
Inf. Sci.
Geonwoo Ko, Jinhong Jung
2024 A conf
MuLe: Multi-Grained Graph Learning for Multi-Behavior Recommendation.
CIKM
Seunghan Lee, Geonwoo Ko, Hyun-Je Song, Jinhong Jung
2024 J jnl
Random walk with restart on hypergraphs: fast computation and an application to anomaly detection.
Data Min. Knowl. Discov.
Jaewan Chun, Geon Lee, Kijung Shin, Jinhong Jung
2023 J jnl
Learning Disentangled Representations in Signed Directed Graphs without Social Assumptions.
CoRR
Geonwoo Ko, Jinhong Jung
2023 A* conf
NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors.
WWW
Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin
2023 J jnl
NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors.
CoRR
Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin
2023 A* conf
TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions.
ICDM
Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin
2023 J jnl
TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions.
CoRR
Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin
2023 A* conf
Time-Aware Random Walk Diffusion to Improve Dynamic Graph Learning.
AAAI
Jong-whi Lee, Jinhong Jung
2022 A* conf
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder.
KDD
Jaemin Yoo, Hyunsik Jeon, Jinhong Jung, U Kang
2022 J jnl
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder.
CoRR
Jaemin Yoo, Hyunsik Jeon, Jinhong Jung, U Kang
2022 J jnl
Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning.
CoRR
Jong-whi Lee, Jinhong Jung
2021 J jnl
Accurate relational reasoning in edge-labeled graphs by multi-labeled random walk with restart.
World Wide Web
Jinhong Jung, Woojeong Jin, Ha-Myung Park, U Kang
2021 J jnl
Correction to: Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach.
Mach. Learn.
Jinhong Jung, Lee Sael
2021 J jnl
Correction to: Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach.
Mach. Learn.
Jinhong Jung, Lee Sael
2021 A* conf
Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion.
KDD
Jaehun Jung, Jinhong Jung, U Kang
2020 B conf
BalanSiNG: Fast and Scalable Generation of Realistic Signed Networks.
EDBT
Jinhong Jung, Ha-Myung Park, U Kang
2020 J jnl
Fast and Accurate Pseudoinverse with Sparse Matrix Reordering and Incremental Approach.
CoRR
Jinhong Jung, Lee Sael
2020 J jnl
Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach.
Mach. Learn.
Jinhong Jung, Lee Sael
2020 J jnl
Random walk-based ranking in signed social networks: model and algorithms.
Knowl. Inf. Syst.
Jinhong Jung, Woojeong Jin, U Kang
2020 J jnl
Signed Graph Diffusion Network.
CoRR
Jinhong Jung, Jaemin Yoo, U Kang
2020 J jnl
T-GAP: Learning to Walk across Time for Temporal Knowledge Graph Completion.
CoRR
Jaehun Jung, Jinhong Jung, U Kang
2018 A* conf
TPA: Fast, Scalable, and Accurate Method for Approximate Random Walk with Restart on Billion Scale Graphs.
ICDE
Minji Yoon, Jinhong Jung, U Kang
2018 J jnl
TR-SVD: Fast and Memory Efficient Method for Time Ranged Singular Value Decomposition.
CoRR
Jun-Gi Jang, Dongjin Choi, Jinhong Jung, U Kang
2018 A conf
Zoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range.
CIKM
Jun-Gi Jang, Dongjin Choi, Jinhong Jung, U Kang
2017 J jnl
A Comparative Study of Matrix Factorization and Random Walk with Restart in Recommender Systems.
CoRR
Haekyu Park, Jinhong Jung, U Kang
2017 — conf
A New Question Answering Approach with Conceptual Graphs.
CORIA
Kyung-Min Kim, Jinhong Jung, Jihee Ryu, Ha-Myung Park, Joseph P. Joohee, Seokwoo Jeong, U Kang, Sung-Hyon Myaeng
2017 — conf
A comparative study of matrix factorization and random walk with restart in recommender systems.
IEEE BigData
Haekyu Park, Jinhong Jung, U Kang
2017 — conf
BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart.
SIGMOD Conference
Jinhong Jung, Namyong Park, Lee Sael, U Kang
2017 J jnl
Supervised and Extended Restart in Random Walks for Ranking and Link Prediction in Networks.
CoRR
Woojeong Jin, Jinhong Jung, U Kang
2017 J jnl
TPA: Two Phase Approximation for Random Walk with Restart.
CoRR
Minji Yoon, Jinhong Jung, U Kang
2016 A* conf
Personalized Ranking in Signed Networks Using Signed Random Walk with Restart.
ICDM
Jinhong Jung, Woojeong Jin, Lee Sael, U Kang
2016 J jnl
Random Walk with Restart on Large Graphs Using Block Elimination.
ACM Trans. Database Syst.
Jinhong Jung, Kijung Shin, Lee Sael, U Kang
2015 — conf
BEAR: Block Elimination Approach for Random Walk with Restart on Large Graphs.
SIGMOD Conference
Kijung Shin, Jinhong Jung, Lee Sael, U Kang