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Context-aware spatio-temporal event prediction via convolutional Hawkes processes., , , , , and . Mach. Learn., 111 (8): 2929-2950 (2022)Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains., , , , , , and . CoRR, (2022)Predicting Traffic Accidents with Event Recorder Data., , , , , and . PredictGIS@SIGSPATIAL, page 11-14. ACM, (2019)Marked Temporal Point Processes for Trip Demand Prediction in Bike Sharing Systems., , , , and . IEICE Trans. Inf. Syst., 102-D (9): 1635-1643 (2019)Meta-Learning for Neural Network-based Temporal Point Processes., , , , , , and . CoRR, (2024)Online Traffic Flow Prediction Using Convolved Bilinear Poisson Regression., , and . MDM, page 134-143. IEEE Computer Society, (2017)Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets with Various Granularities., , , , , and . CoRR, (2018)Predicting Opinion Dynamics via Sociologically-Informed Neural Networks., and . KDD, page 1306-1316. ACM, (2022)Real-time and proactive navigation via spatio-temporal prediction., , , , , and . UbiComp/ISWC Adjunct, page 1559-1566. ACM, (2015)Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model., , , , , , , and . CoRR, (2024)