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Extracting relations from traditional Chinese medicine literature via heterogeneous entity networks.

, , , , , , and . J. Am. Medical Informatics Assoc., 23 (2): 356-365 (2016)

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Adversarial self-attentive time-variant neural networks for multi-step time series forecasting., , , , and . Expert Syst. Appl., (November 2023)Modeling Spatial-Temporal Constraints and Spatial-Transfer Patterns for Couriers' Package Pick-up Route Prediction., , , , , , , , and . IEEE Trans. Intell. Transp. Syst., 24 (12): 13787-13800 (December 2023)Exploiting global context and external knowledge for distantly supervised relation extraction., , and . Knowl. Based Syst., (2023)Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efficient Long-term Traffic Forecasting., , , , , , , and . ICDE, page 1585-1596. IEEE, (2023)Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting., , , , and . IEEE Trans. Knowl. Data Eng., 34 (11): 5415-5428 (2022)Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation., , , , , , , , and . CoRR, (2024)Local-Global History-aware Contrastive Learning for Temporal Knowledge Graph Reasoning., , , , , , and . CoRR, (2023)A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects., , , , , , , , , and 3 other author(s). CoRR, (2023)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)Community-Based Relational Markov Networks in Complex Networks., , , and . RSKT, volume 6954 of Lecture Notes in Computer Science, page 301-310. Springer, (2011)