Forecasting network-wide multi-step metro ridership with an attention-weighted multi-view graph to sequence learning approach

Research article (Expert Systems with Applications, 2022) · cited 21× · AI/ML
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Forecasting network-wide multi-step metro ridership with an attention-weighted multi-view graph to sequence learning approach

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Forecasting network-wide multi-step metro ridership with an attention-weighted multi-view graph to sequence learning approach is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Forecasting network-wide multi-step metro ridership with an attention-weighted multi-view graph to sequence learning approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/forecasting-network-wide-multi-step-metro-ridership-with-an-attention-weighted-multi-view-graph-to-sequence-learning-app
MLA “Forecasting network-wide multi-step metro ridership with an attention-weighted multi-view graph to sequence learning approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/forecasting-network-wide-multi-step-metro-ridership-with-an-attention-weighted-multi-view-graph-to-sequence-learning-app.
BibTeX @misc{4ortxyz_forecasting-network-wide-multi-step-metro-ridership-with-an-attention-weighted-multi-view-graph-to-sequence-learning-app_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Forecasting network-wide multi-step metro ridership with an attention-weighted multi-view graph to sequence learning approach}}, year = {2026}, url = {https://4ort.xyz/entity/forecasting-network-wide-multi-step-metro-ridership-with-an-attention-weighted-multi-view-graph-to-sequence-learning-app}, note = {Accessed: 2026-05-24}}
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