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Jinhong Jung
Jinhong Jung
Assistant Professor, Jeonbuk National University
Verified email at jbnu.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
792015
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
602016
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
442017
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
412016
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
282017
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
252018
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
242019
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
152019
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
122021
BalanSiNG: Fast and Scalable Generation of Realistic Signed Networks
J Jung, HM Park, U Kang
International Conference on Extending Database Technology (EDBT) 2020, 2020
92020
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
92018
T-gap: Learning to walk across time for temporal knowledge graph completion
J Jung, J Jung, U Kang
arXiv preprint arXiv:2012.10595, 2020
62020
Signed Graph Diffusion Network
J Jung, J Yoo, U Kang
arXiv preprint arXiv:2012.14191, 2020
52020
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 (4), 1369-1393, 2021
32021
Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach
J Jung, L Sael
Machine Learning 109 (12), 2333-2347, 2020
32020
Accurate Node Feature Estimation with Structured Variational Graph Autoencoder
J Yoo, H Jeon, J Jung, U Kang
arXiv preprint arXiv:2206.04516, 2022
22022
Compressing deep graph convolution network with multi-staged knowledge distillation
J Kim, J Jung, U Kang
Plos one 16 (8), e0256187, 2021
22021
Signed random walk diffusion for effective representation learning in signed graphs
J Jung, J Yoo, U Kang
Plos one 17 (3), e0265001, 2022
12022
TPA: Two Phase Approximation for Random Walk with Restart
M Yoon, J Jung, U Kang
arXiv preprint arXiv:1708.02574, 2017
12017
A New Question Answering Approach with Conceptual Graphs.
KM Kim, J Jung, J Ryu, HM Park, JP Joohee, S Jeong, U Kang, ...
CORIA, 218-234, 2017
12017
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