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[연구성과_SCI] TMF-GNN: Temporal matrix factorization-based graph neural network for multivariate time series forecasting with missing values
관리자 25-03-01 00:00 7
1. 연구 단계별 성과
◇ 중형 2단계 (202309~202708)
◇ 중형단계 (2020S1A3A2A02093277, 권오병 연구책임)

2. 논문정보
· 제목: TMF-GNN: Temporal matrix factorization-based graph neural network for multivariate time series forecasting with missing values
· 저자: Suhyeon Kim, Taek-Ho Lee, Junghye Lee
· 학술지명: Expert Systems with Applications (275)
· 발행연도: 2025.03

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