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Jinhong Jung
Jinhong Jung
Assistant Professor, Soongsil University
Verified email at ssu.ac.kr - Homepage
Title
Cited by
Cited by
Year
Bear: Block elimination approach for random walk with restart on large graphs
K Shin, J Jung, S Lee, U Kang
Proceedings of the 2015 ACM SIGMOD international conference on management of …, 2015
942015
Personalized ranking in signed networks using signed random walk with restart
J Jung, W Jin, L Sael, U Kang
2016 IEEE 16th international conference on data mining (ICDM), 973-978, 2016
732016
Learning to walk across time for interpretable temporal knowledge graph completion
J Jung, J Jung, U Kang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
712021
Bepi: Fast and memory-efficient method for billion-scale random walk with restart
J Jung, N Park, S Lee, U Kang
Proceedings of the 2017 ACM International Conference on Management of Data …, 2017
592017
Random walk with restart on large graphs using block elimination
J Jung, K Shin, L Sael, U Kang
ACM Transactions on Database Systems (TODS) 41 (2), 1-43, 2016
462016
A comparative study of matrix factorization and random walk with restart in recommender systems
H Park, J Jung, U Kang
2017 IEEE International Conference on Big Data (Big Data), 756-765, 2017
412017
Tpa: Fast, scalable, and accurate method for approximate random walk with restart on billion scale graphs
M Yoon, J Jung, U Kang
2018 IEEE 34th International Conference on Data Engineering (ICDE), 1132-1143, 2018
372018
Supervised and extended restart in random walks for ranking and link prediction in networks
W Jin, J Jung, U Kang
PloS one 14 (3), e0213857, 2019
332019
Random walk-based ranking in signed social networks: model and algorithms
J Jung, W Jin, U Kang
Knowledge and Information Systems 62 (2), 571-610, 2019
222019
Signed graph diffusion network
J Jung, J Yoo, U Kang
arXiv preprint arXiv:2012.14191, 2020
172020
BalanSiNG: Fast and Scalable Generation of Realistic Signed Networks
J Jung, HM Park, U Kang
International Conference on Extending Database Technology (EDBT) 2020, 2020
122020
T-gap: Learning to walk across time for temporal knowledge graph completion
J Jung, J Jung, U Kang
arXiv preprint arXiv:2012.10595, 2020
112020
Zoom-svd: Fast and memory efficient method for extracting key patterns in an arbitrary time range
JG Jang, D Choi, J Jung, U Kang
Proceedings of the 27th ACM International Conference on Information and …, 2018
112018
Accurate node feature estimation with structured variational graph autoencoder
J Yoo, H Jeon, J Jung, U Kang
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
102022
Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach
J Jung, L Sael
Machine Learning 109 (12), 2333-2347, 2020
92020
Compressing deep graph convolution network with multi-staged knowledge distillation
J Kim, J Jung, U Kang
Plos one 16 (8), e0256187, 2021
82021
Accurate relational reasoning in edge-labeled graphs by multi-labeled random walk with restart
J Jung, W Jin, H Park, U Kang
World Wide Web 24, 1369-1393, 2021
42021
Random walk with restart on hypergraphs: fast computation and an application to anomaly detection
J Chun, G Lee, K Shin, J Jung
Data Mining and Knowledge Discovery, 1-36, 2023
22023
Time-aware random walk diffusion to improve dynamic graph learning
J Lee, J Jung
Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8473-8481, 2023
22023
Neukron: Constant-size lossy compression of sparse reorderable matrices and tensors
T Kwon, J Ko, J Jung, K Shin
Proceedings of the ACM Web Conference 2023, 71-81, 2023
22023
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Articles 1–20