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61
THyMe+: Temporal Hypergraph Motifs and Fast Algorithms for Exact Counting
Geon Lee, Kijung Shin
ACM TKDD: ACM Transactions on Knowledge Discovery from Data, 2021
62
A Comparative Study
Shinhwan Kang, Kyuhan Lee, Kijung Shin
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2022
63
AHP: Learning to Negative Sample for Hyperedge Prediction
Hyunjin Hwang*, Seungwoo Lee*, Chanyoung Park, Kijung Shin
SIGIR 2022 (Short Paper): International ACM SIGIR Conference on Research and Development in Information Retrieval 2022, 2022
64
Are Edge Weights in Summary Graphs Useful? - A Comparative Study
Shinhwan Kang, Kyuhan Lee, Kijung Shin
PAKDD 2022: Pacific-Asia Conference on Knowledge Discovery and Data Mining 2022, 2022
65
Directed Network Embedding with Virtual Negative Edges
Hyunsik Yoo*, Yeon-Chang Lee*, Kijung Shin, Sang-Wook Kim
ACM International Conference on Web Search and Data Mining 2022, 2022
66
Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs
Hyeonjeong Shin, Taehyung Kwon, Neil Shah, Kijung Shin
ACM International Conference on Web Search and Data Mining 2022, 2022
67
HashNWalk: Hash and Random Walk Based Anomaly Detection in Hyperedge Streams
Geon Lee, Minyoung Choe, Kijung Shin
IJCAI 2022: International Joint Conference on Artificial Intelligence 2022, 2022
68
Learning-Based Very Short-Term Rainfall Forecasts in South Korea
Seok-Geun Oh, Chanil Park, Seok-Woo Son, Jihoon Ko, Kijung Shin, Sunyoung Kim, Junsang Park
Asia-Pacific Journal of Atmospheric Sciences, 2022
69
MARIO: Modality-Aware Attention and Modality-Preserving Decoders for Multimedia Recommendation
Taeri Kim*, Yeon-Chang Lee*, Kijung Shin, Sang-Wook Kim
CIKM 2022: ACM International Conference on Information and Knowledge Management 2022, 2022
70
Meta-Learning for Online Update of Recommender Systems
Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee
AAAI Conference on Artificial Intelligence 2022, 2022
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