Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Neural Networks-Reference-Cited by-同舟云学术

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Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Neural Networks

Published:2021-04 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 37th International Conference on Data Engineering (ICDE)
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Author:

Wang Zhaonan,Xia Tianqi,Jiang Renhe,Liu Xin,Kim Kyoung-Sook,Song Xuan,Shibasaki Ryosuke

Funder

New Energy and Industrial Technology Development Organization

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9458599/9458600/09458623.pdf?arnumber=9458623

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2. Cross- and Context-Aware Attention Based Spatial-Temporal Graph Convolutional Networks for Human Mobility Prediction;ACM Transactions on Spatial Algorithms and Systems;2024-07-09

3. SGCL: Semantic-aware Graph Contrastive Learning with Lipschitz Graph Augmentation;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

4. TS3Net: Triple Decomposition with Spectrum Gradient for Long-Term Time Series Analysis;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

5. Hospital selection decision in emergency medical services: a simulation-based assessment of assignment criteria;Journal of Industrial and Production Engineering;2024-05-03

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