Uncovering the spatiotemporal motif patterns in urban mobility networks by non-negative tensor decomposition

Research article (Physica A Statistical Mechanics and its Applications, 2022) · cited 13× · AI/ML
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Uncovering the spatiotemporal motif patterns in urban mobility networks by non-negative tensor decomposition

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Uncovering the spatiotemporal motif patterns in urban mobility networks by non-negative tensor decomposition is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Uncovering the spatiotemporal motif patterns in urban mobility networks by non-negative tensor decomposition. Retrieved May 24, 2026, from https://4ort.xyz/entity/uncovering-the-spatiotemporal-motif-patterns-in-urban-mobility-networks-by-non-negative-tensor-decomposition
MLA “Uncovering the spatiotemporal motif patterns in urban mobility networks by non-negative tensor decomposition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/uncovering-the-spatiotemporal-motif-patterns-in-urban-mobility-networks-by-non-negative-tensor-decomposition.
BibTeX @misc{4ortxyz_uncovering-the-spatiotemporal-motif-patterns-in-urban-mobility-networks-by-non-negative-tensor-decomposition_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Uncovering the spatiotemporal motif patterns in urban mobility networks by non-negative tensor decomposition}}, year = {2026}, url = {https://4ort.xyz/entity/uncovering-the-spatiotemporal-motif-patterns-in-urban-mobility-networks-by-non-negative-tensor-decomposition}, note = {Accessed: 2026-05-24}}
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