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Jinhong Jung
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Journal Articles
- 2024
- [j8]Jaewan Chun, Geon Lee, Kijung Shin, Jinhong Jung:
Random walk with restart on hypergraphs: fast computation and an application to anomaly detection. Data Min. Knowl. Discov. 38(3): 1222-1257 (2024) - [j7]Geonwoo Ko, Jinhong Jung:
Learning disentangled representations in signed directed graphs without social assumptions. Inf. Sci. 665: 120373 (2024) - 2021
- [j6]Jinhong Jung, Lee Sael:
Correction to: Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach. Mach. Learn. 110(2): 449 (2021) - [j5]Jinhong Jung, Lee Sael:
Correction to: Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach. Mach. Learn. 110(3): 619-620 (2021) - [j4]Jinhong Jung, Woojeong Jin, Ha-Myung Park, U Kang:
Accurate relational reasoning in edge-labeled graphs by multi-labeled random walk with restart. World Wide Web 24(4): 1369-1393 (2021) - 2020
- [j3]Jinhong Jung, Woojeong Jin, U Kang:
Random walk-based ranking in signed social networks: model and algorithms. Knowl. Inf. Syst. 62(2): 571-610 (2020) - [j2]Jinhong Jung, Lee Sael:
Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach. Mach. Learn. 109(12): 2333-2347 (2020) - 2016
- [j1]Jinhong Jung, Kijung Shin, Lee Sael, U Kang:
Random Walk with Restart on Large Graphs Using Block Elimination. ACM Trans. Database Syst. 41(2): 12:1-12:43 (2016)
Conference and Workshop Papers
- 2024
- [c14]Taehyung Kwon, Jihoon Ko, Jinhong Jung, Jun-Gi Jang, Kijung Shin:
Compact Decomposition of Irregular Tensors for Data Compression: From Sparse to Dense to High-Order Tensors. KDD 2024: 1451-1462 - 2023
- [c13]Jong-whi Lee, Jinhong Jung:
Time-Aware Random Walk Diffusion to Improve Dynamic Graph Learning. AAAI 2023: 8473-8481 - [c12]Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin:
TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions. ICDM 2023: 229-238 - [c11]Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin:
NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors. WWW 2023: 71-81 - 2022
- [c10]Jaemin Yoo, Hyunsik Jeon, Jinhong Jung, U Kang:
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder. KDD 2022: 2336-2346 - 2021
- [c9]Jaehun Jung, Jinhong Jung, U Kang:
Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion. KDD 2021: 786-795 - 2020
- [c8]Jinhong Jung, Ha-Myung Park, U Kang:
BalanSiNG: Fast and Scalable Generation of Realistic Signed Networks. EDBT 2020: 193-204 - 2018
- [c7]Jun-Gi Jang, Dongjin Choi, Jinhong Jung, U Kang:
Zoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range. CIKM 2018: 1083-1092 - [c6]Minji Yoon, Jinhong Jung, U Kang:
TPA: Fast, Scalable, and Accurate Method for Approximate Random Walk with Restart on Billion Scale Graphs. ICDE 2018: 1132-1143 - 2017
- [c5]Haekyu Park, Jinhong Jung, U Kang:
A comparative study of matrix factorization and random walk with restart in recommender systems. IEEE BigData 2017: 756-765 - [c4]Kyung-Min Kim, Jinhong Jung, Jihee Ryu, Ha-Myung Park, Joseph P. Joohee, Seokwoo Jeong, U Kang, Sung-Hyon Myaeng:
A New Question Answering Approach with Conceptual Graphs. CORIA 2017: 218-234 - [c3]Jinhong Jung, Namyong Park, Lee Sael, U Kang:
BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart. SIGMOD Conference 2017: 789-804 - 2016
- [c2]Jinhong Jung, Woojeong Jin, Lee Sael, U Kang:
Personalized Ranking in Signed Networks Using Signed Random Walk with Restart. ICDM 2016: 973-978 - 2015
- [c1]Kijung Shin, Jinhong Jung, Lee Sael, U Kang:
BEAR: Block Elimination Approach for Random Walk with Restart on Large Graphs. SIGMOD Conference 2015: 1571-1585
Informal and Other Publications
- 2023
- [i12]Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin:
NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors. CoRR abs/2302.04570 (2023) - [i11]Geonwoo Ko, Jinhong Jung:
Learning Disentangled Representations in Signed Directed Graphs without Social Assumptions. CoRR abs/2307.03077 (2023) - [i10]Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin:
TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions. CoRR abs/2309.10310 (2023) - 2022
- [i9]Jaemin Yoo, Hyunsik Jeon, Jinhong Jung, U Kang:
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder. CoRR abs/2206.04516 (2022) - [i8]Jong-whi Lee, Jinhong Jung:
Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning. CoRR abs/2211.01214 (2022) - 2020
- [i7]Jinhong Jung, Lee Sael:
Fast and Accurate Pseudoinverse with Sparse Matrix Reordering and Incremental Approach. CoRR abs/2011.04235 (2020) - [i6]Jaehun Jung, Jinhong Jung, U Kang:
T-GAP: Learning to Walk across Time for Temporal Knowledge Graph Completion. CoRR abs/2012.10595 (2020) - [i5]Jinhong Jung, Jaemin Yoo, U Kang:
Signed Graph Diffusion Network. CoRR abs/2012.14191 (2020) - 2018
- [i4]Jun-Gi Jang, Dongjin Choi, Jinhong Jung, U Kang:
TR-SVD: Fast and Memory Efficient Method for Time Ranged Singular Value Decomposition. CoRR abs/1805.00754 (2018) - 2017
- [i3]Minji Yoon, Jinhong Jung, U Kang:
TPA: Two Phase Approximation for Random Walk with Restart. CoRR abs/1708.02574 (2017) - [i2]Haekyu Park, Jinhong Jung, U Kang:
A Comparative Study of Matrix Factorization and Random Walk with Restart in Recommender Systems. CoRR abs/1708.09088 (2017) - [i1]Woojeong Jin, Jinhong Jung, U Kang:
Supervised and Extended Restart in Random Walks for Ranking and Link Prediction in Networks. CoRR abs/1710.06609 (2017)
Coauthor Index
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