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Modeling Citywide Crowd Flows using Attentive Convolutional LSTM

Research article (2021 IEEE 37th International Conference on Data Engineering (ICDE), 2021) · cited 23× · AI/ML
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Modeling Citywide Crowd Flows using Attentive Convolutional LSTM

Summary

Modeling Citywide Crowd Flows using Attentive Convolutional LSTM is a scholarly article[1].

Key Facts

  • Modeling Citywide Crowd Flows using Attentive Convolutional LSTM's instance of is recorded as scholarly article[2].

Related Entities

Jian Tang Kin K. Leung

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Modeling Citywide Crowd Flows using Attentive Convolutional LSTM. Retrieved May 24, 2026, from https://4ort.xyz/entity/modeling-citywide-crowd-flows-using-attentive-convolutional-lstm
MLA “Modeling Citywide Crowd Flows using Attentive Convolutional LSTM.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/modeling-citywide-crowd-flows-using-attentive-convolutional-lstm.
BibTeX @misc{4ortxyz_modeling-citywide-crowd-flows-using-attentive-convolutional-lstm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Modeling Citywide Crowd Flows using Attentive Convolutional LSTM}}, year = {2026}, url = {https://4ort.xyz/entity/modeling-citywide-crowd-flows-using-attentive-convolutional-lstm}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Modeling Citywide Crowd Flows using Attentive Convolutional LSTM — https://4ort.xyz/entity/modeling-citywide-crowd-flows-using-attentive-convolutional-lstm (retrieved 2026-05-24)

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