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cs.LG2026
M-CTX: Exact and Scalable Spatial Context Retrieval for Trajectory Analytics
Kun Ma, Qilong Han, Chengjing Song +4
Modern trajectory predictors increasingly condition on external spatial context, such as map geometry, signed distance fields (SDFs), and nearby moving agents. While this context i…
cs.LG2024
Detecting Anomalies in Dynamic Graphs via Memory enhanced Normality
Jie Liu, Xuequn Shang, Xiaolin Han +2
Anomaly detection in dynamic graphs presents a significant challenge due to the temporal evolution of graph structures and attributes. The conventional approaches that tackle this…