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Enough Waiting for the Couriers: Learning to Estimate Package Pick-up Arrival Time from Couriers' Spatial-Temporal Behaviors.

, , , , , , , , , , and . ACM Trans. Intell. Syst. Technol., 14 (3): 50:1-50:22 (2023)

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Enough Waiting for the Couriers: Learning to Estimate Package Pick-up Arrival Time from Couriers' Spatial-Temporal Behaviors., , , , , , , , , and 1 other author(s). ACM Trans. Intell. Syst. Technol., 14 (3): 50:1-50:22 (2023)DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models., , , , , , and . SIGSPATIAL/GIS, page 60:1-60:12. ACM, (2023)Community-Based Relational Markov Networks in Complex Networks., , , and . RSKT, volume 6954 of Lecture Notes in Computer Science, page 301-310. Springer, (2011)Inductive and adaptive graph convolution networks equipped with constraint task for spatial-temporal traffic data kriging., , , , , , , and . Knowl. Based Syst., (2024)Spatial-Temporal Cross-View Contrastive Pre-training for Check-in Sequence Representation Learning., , , , , , , , and . CoRR, (2024)DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation., , , , , , , , and . CoRR, (2024)Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efficient Long-term Traffic Forecasting., , , , , , , and . ICDE, page 1585-1596. IEEE, (2023)Extracting relations from traditional Chinese medicine literature via heterogeneous entity networks., , , , , , and . J. Am. Medical Informatics Assoc., 23 (2): 356-365 (2016)Modeling Intra- and Inter-community Information for Route and Time Prediction in Last-mile Delivery., , , , , , and . ICDE, page 3106-3112. IEEE, (2023)DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction., , , , , , , and . KDD, page 4628-4637. ACM, (2023)