Ikuti
Kijung Shin
Kijung Shin
Associate Professor, KAIST
Email yang diverifikasi di kaist.ac.kr - Beranda
Judul
Dikutip oleh
Dikutip oleh
Tahun
FRAUDAR: Bounding Graph Fraud in the Face of Camouflage
B Hooi, HA Song, A Beutel, N Shah, K Shin, C Faloutsos
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
4262016
CoreScope: Graph Mining Using k-Core Analysis—Patterns, Anomalies and Algorithms
K Shin, T Eliassi-Rad, C Faloutsos
2016 IEEE 16th International Conference on Data Mining (ICDM), 469-478, 2016
1592016
Midas: microcluster-based detector of anomalies in edge streams
S Bhatia, B Hooi, M Yoon, K Shin, C Faloutsos
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3242-3249, 2020
1242020
M-zoom: Fast dense-block detection in tensors with quality guarantees
K Shin, B Hooi, C Faloutsos
Joint european conference on machine learning and knowledge discovery in …, 2016
1162016
Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach
M Yoon, B Hooi, K Shin, C Faloutsos
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
1002019
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
952015
Graph-based fraud detection in the face of camouflage
B Hooi, K Shin, HA Song, A Beutel, N Shah, C Faloutsos
ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (4), 1-26, 2017
922017
Fully Scalable Methods for Distributed Tensor Factorization
K Shin, L Sael, U Kang
IEEE Transactions on Knowledge and Data Engineering 29 (1), 100-113, 2017
922017
How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction
S Yoon, H Song, K Shin, Y Yi
Proceedings of The Web Conference 2020, 2627-2633, 2020
892020
Structural Patterns and Generative Models of Real-world Hypergraphs
MT Do, S Yoon, B Hooi, K Shin
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
852020
Patterns and anomalies in k-cores of real-world graphs with applications
K Shin, T Eliassi-Rad, C Faloutsos
Knowledge and Information Systems 54 (3), 677-710, 2018
842018
DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams
K Shin, B Hooi, J Kim, C Faloutsos
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
832017
Distributed methods for high-dimensional and large-scale tensor factorization
K Shin, U Kang
2014 IEEE International Conference on Data Mining, 989-994, 2014
812014
Hypergraph Motifs: Concepts, Algorithms, and Discoveries
G Lee, J Ko, K Shin
Proceedings of the VLDB Endowment 13 (11), 2256-2269, 2020
802020
D-Cube: Dense-Block Detection in Terabyte-Scale Tensors
K Shin, B Hooi, J Kim, C Faloutsos
Proceedings of the Tenth ACM International Conference on Web Search and Data …, 2017
792017
How do hyperedges overlap in real-world hypergraphs?-patterns, measures, and generators
G Lee, M Choe, K Shin
Proceedings of the Web Conference 2021, 3396-3407, 2021
652021
SWeG: Lossless and Lossy Summarization of Web-Scale Graphs
K Shin, A Ghoting, M Kim, H Raghavan
The World Wide Web Conference, 1679-1690, 2019
642019
Incremental Lossless Graph Summarization
J Ko, Y Kook, K Shin
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
582020
SSumM: Sparse Summarization of Massive Graphs
K Lee, H Jo, J Ko, S Lim, K Shin
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
562020
S-HOT: Scalable High-Order Tucker Decomposition
J Oh, K Shin, EE Papalexakis, C Faloutsos, H Yu
Proceedings of the Tenth ACM International Conference on Web Search and Data …, 2017
532017
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