A dynamic graph deep learning model with multivariate empirical mode decomposition for network‐wide metro passenger flow prediction

Research article (Computer-Aided Civil and Infrastructure Engineering, 2024) · cited 12× · AI/ML
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A dynamic graph deep learning model with multivariate empirical mode decomposition for network‐wide metro passenger flow prediction

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A dynamic graph deep learning model with multivariate empirical mode decomposition for network‐wide metro passenger flow prediction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A dynamic graph deep learning model with multivariate empirical mode decomposition for network‐wide metro passenger flow prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-dynamic-graph-deep-learning-model-with-multivariate-empirical-mode-decomposition-for-networkwide-metro-passenger-flow-
MLA “A dynamic graph deep learning model with multivariate empirical mode decomposition for network‐wide metro passenger flow prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-dynamic-graph-deep-learning-model-with-multivariate-empirical-mode-decomposition-for-networkwide-metro-passenger-flow-.
BibTeX @misc{4ortxyz_a-dynamic-graph-deep-learning-model-with-multivariate-empirical-mode-decomposition-for-networkwide-metro-passenger-flow-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A dynamic graph deep learning model with multivariate empirical mode decomposition for network‐wide metro passenger flow prediction}}, year = {2026}, url = {https://4ort.xyz/entity/a-dynamic-graph-deep-learning-model-with-multivariate-empirical-mode-decomposition-for-networkwide-metro-passenger-flow-}, note = {Accessed: 2026-05-24}}
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