Jinhong Jung

According to our database, Jinhong Jung authored at least 27 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Random walk with restart on hypergraphs: fast computation and an application to anomaly detection.

Jaewan Chun, Geon Lee, Kijung Shin, Jinhong Jung

Data Min. Knowl. Discov., May, 2024

Learning disentangled representations in signed directed graphs without social assumptions.

Geonwoo Ko, Jinhong Jung

Inf. Sci., 2024

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

Taehyung Kwon, Jihoon Ko, Jinhong Jung, Jun-Gi Jang, Kijung Shin

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

Seunghan Lee, Geonwoo Ko, Hyun-Je Song, Jinhong Jung

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

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

Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin

Proceedings of the ACM Web Conference 2023, 2023

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

Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin

Proceedings of the IEEE International Conference on Data Mining, 2023

Time-Aware Random Walk Diffusion to Improve Dynamic Graph Learning.

Jong-whi Lee, Jinhong Jung

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Accurate Node Feature Estimation with Structured Variational Graph Autoencoder.

Jaemin Yoo, Hyunsik Jeon, Jinhong Jung, U Kang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Accurate relational reasoning in edge-labeled graphs by multi-labeled random walk with restart.

Jinhong Jung, Woojeong Jin, Ha-Myung Park, U Kang

World Wide Web, 2021

Correction to: Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach.

Jinhong Jung, Lee Sael

Mach. Learn., 2021

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

Jaehun Jung, Jinhong Jung, U Kang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach.

Jinhong Jung, Lee Sael

Mach. Learn., 2020

Random walk-based ranking in signed social networks: model and algorithms.

Jinhong Jung, Woojeong Jin, U Kang

Knowl. Inf. Syst., 2020

Signed Graph Diffusion Network.

Jinhong Jung, Jaemin Yoo, U Kang

CoRR, 2020

T-GAP: Learning to Walk across Time for Temporal Knowledge Graph Completion.

Jaehun Jung, Jinhong Jung, U Kang

CoRR, 2020

BalanSiNG: Fast and Scalable Generation of Realistic Signed Networks.

Jinhong Jung, Ha-Myung Park, U Kang

Proceedings of the 23rd International Conference on Extending Database Technology, 2020

2018

TR-SVD: Fast and Memory Efficient Method for Time Ranged Singular Value Decomposition.

Jun-Gi Jang, Dongjin Choi, Jinhong Jung, U Kang

CoRR, 2018

TPA: Fast, Scalable, and Accurate Method for Approximate Random Walk with Restart on Billion Scale Graphs.

Minji Yoon, Jinhong Jung, U Kang

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Zoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range.

Jun-Gi Jang, Dongjin Choi, Jinhong Jung, U Kang

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Supervised and Extended Restart in Random Walks for Ranking and Link Prediction in Networks.

Woojeong Jin, Jinhong Jung, U Kang

CoRR, 2017

TPA: Two Phase Approximation for Random Walk with Restart.

Minji Yoon, Jinhong Jung, U Kang

CoRR, 2017

BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart.

Jinhong Jung, Namyong Park, Lee Sael, U Kang

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

A New Question Answering Approach with Conceptual Graphs.

Kyung-Min Kim, Jinhong Jung, Jihee Ryu, Ha-Myung Park, Joseph P. Joohee, Seokwoo Jeong, U Kang, Sung-Hyon Myaeng

Proceedings of the COnférence en Recherche d'Informations et Applications, 2017

A comparative study of matrix factorization and random walk with restart in recommender systems.

Haekyu Park, Jinhong Jung, U Kang

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Random Walk with Restart on Large Graphs Using Block Elimination.

Jinhong Jung, Kijung Shin, Lee Sael, U Kang

ACM Trans. Database Syst., 2016

Personalized Ranking in Signed Networks Using Signed Random Walk with Restart.

Jinhong Jung, Woojeong Jin, Lee Sael, U Kang

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

BEAR: Block Elimination Approach for Random Walk with Restart on Large Graphs.

Kijung Shin, Jinhong Jung, Lee Sael, U Kang

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015