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cs.LG2026
Prior Knowledge-enhanced Spatio-temporal Epidemic Forecasting
Sijie Ruan, Jinyu Li, Jia Wei +7
Spatio-temporal epidemic forecasting is critical for public health management, yet existing methods often struggle with insensitivity to weak epidemic signals, over-simplified spat…
cs.LG2026
Meta Dynamic Graph for Traffic Flow Prediction
Yiqing Zou, Hanning Yuan, Qianyu Yang +3
Traffic flow prediction is a typical spatio-temporal prediction problem and has a wide range of applications. The core challenge lies in modeling the underlying complex spatio-temp…
cs.LG2024★ 1 cited
Invariant Graph Representations for Continuous-Time Dynamic Graphs Under Distribution Shifts
Lanting Fang, Yulian Yang, Yawei Zhang +3
Continuous-Time Dynamic Graphs (CTDGs) enable fine-grained modeling of evolving relational systems. However, most existing CTDG representation learning methods are tailored to in-d…