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11
Two-Stage Training of Graph Neural Networks for Graph Classification
Do, Manh Tuan, Park, Noseong, Shin, Kijung
NEURAL PROCESSING LETTERS, 2023
12
Temporal hypergraph motifs
Shin, K[Shin, Kijung], Lee, G[Lee, Geon]
KNOWLEDGE AND INFORMATION SYSTEMS, 2023
13
Growth patterns and models of real-world hypergraphs
Ko, J[Ko, Jihoon], Kook, Y[Kook, Yunbum], Shin, K[Shin, Kijung]
KNOWLEDGE AND INFORMATION SYSTEMS, 2022
14
Real-Time Anomaly Detection in Edge Streams
Bhatia, S[Bhatia, Siddharth], Liu, R[Liu, Rui], Hooi, B[Hooi, Bryan], Yoon, M[Yoon, Minji], Shin, K[Shin, Kijung], Faloutsos, C[Faloutsos, Christ
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2022
15
Effective training strategies for deep-learning-based precipitation nowcasting and estimation
Ko, Jihoon, Lee, Kyuhan, Hwang, Hyunjin, Oh, Seok-Geun, Son, Seok-Woo, Shin, Kijung
COMPUTERS & GEOSCIENCES, 2022
16
Simple epidemic models with segmentation can be better than complex ones
이건[이건], Yoon, SE[Yoon, Se-eun], Shin, K[Shin, Kijung]
PLOS ONE, 2022
17
Detecting Group Anomalies in Tera-Scale Multi-Aspect Data via Dense-Subtensor Mining
Shin, K[Shin, Kijung], Hooi, B[Hooi, Bryan], Kim, J[Kim, Jisu], Faloutsos, C[Faloutsos, Christ
FRONTIERS IN BIG DATA, 2021
18
CoCoS: Fast and Accurate Distributed Triangle Counting in Graph Streams
Lee, E[Lee, Euiwoong], Oh, J[Oh, Jinoh], Hammoud, M[Hammoud, Mohammad], Faloutsos, C[Faloutsos, Christ, Shin, K[Shin, Kijung]
ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2021
19
Temporal locality-aware sampling for accurate triangle counting in real graph streams
Shin, K[Shin, Kijung]
VLDB JOURNAL, 2020
20
Hypergraph Motifs: Concepts, Algorithms, and Discoveries
Lee, G[Lee, Geon], Ko, J[Ko, Jihoon], Shin, K[Shin, Kijung]
PROCEEDINGS OF THE VLDB ENDOWMENT, 2020
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