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1
BeGin: Extensive Benchmark Scenarios and an Easy-to-use Framework for Graph Continual Learning
Shin, Kijung, Ko, Jihoon, Kang, Shinhwan, Kwon, Taehyung, Moon, Heechan
ACM Transactions on Intelligent Systems and Technology, 2025
2
Estimating simplet counts via sampling
Shin, Kijung, Kim, Hyunju, Moon, Heechan, Bu, Fanchen, Ko, Jihoon
The VLDB Journal, 2025
3
Deep learning model for heavy rainfall nowcasting in South Korea
Oh, Seok-Geun, Son, Seok-Woo, Kim, Young-Ha, Park, Chanil, Ko, Jihoon, Shin, Kijung, Ha, Ji-Hoon, Lee, Hyesook
WEATHER AND CLIMATE EXTREMES, 2024
4
Hypergraph motifs and their extensions beyond binary
Lee, Geon, Yoon, S, Ko, Jihoon, Kim, Hyunju, Shin, Kijung
The VLDB Journal, 2024
5
Random walk with restart on hypergraphs: fast computation and an application to anomaly detection
Chun, Jaewan, Lee, Geon, Shin, Kijung, Jung, Jinhong
DATA MINING AND KNOWLEDGE DISCOVERY, 2024
6
Improving the core resilience of real-world hypergraphs
Do, MT[Do, Manh Tuan], Shin, K[Shin, Kijung]
DATA MINING AND KNOWLEDGE DISCOVERY, 2023
7
Interplay between topology and edge weights in real-world graphs: concepts, patterns, and an algorithm
Bu, FC[Bu, Fanchen], Kang, SH[Kang, Shinhwan], Shin, K[Shin, Kijung]
DATA MINING AND KNOWLEDGE DISCOVERY, 2023
8
Datasets, tasks, and training methods for large-scale hypergraph learning
Shin, K[Shin, Kijung], Kim, S[Kim, Sunwoo], Lee, D[Lee, Dongjin], Kim, Y[Kim, Yul], Park, J[Park, Jungho], Hwang, T[Hwang, Taeho]
DATA MINING AND KNOWLEDGE DISCOVERY, 2023
9
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications
Bu, F[Bu, Fanchen], Lee, G[Lee, Geon], Shin, K[Shin, Kijung]
DATA MINING AND KNOWLEDGE DISCOVERY, 2023
10
Reciprocity in directed hypergraphs: measures, findings, and generators
Kim, S[Kim, Sunwoo], Choe, M[Choe, Minyoung], Yoo, J[Yoo, Jaemin], Shin, K[Shin, Kijung]
DATA MINING AND KNOWLEDGE DISCOVERY, 2023
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