Home › Entities › academia › Fine-grained predicting urban crowd flows with adaptive spatio-temporal graph convolutional network

Fine-grained predicting urban crowd flows with adaptive spatio-temporal graph convolutional network

Research article (Neurocomputing, 2021) · cited 16× · AI/ML
academia openalex:W3139337729
Press Enter · cited answer in seconds

Fine-grained predicting urban crowd flows with adaptive spatio-temporal graph convolutional network

Summary

Fine-grained predicting urban crowd flows with adaptive spatio-temporal graph convolutional network is a scholarly article[1].

Key Facts

  • Fine-grained predicting urban crowd flows with adaptive spatio-temporal graph convolutional network's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Fine-grained predicting urban crowd flows with adaptive spatio-temporal graph convolutional network. Retrieved May 24, 2026, from https://4ort.xyz/entity/fine-grained-predicting-urban-crowd-flows-with-adaptive-spatio-temporal-graph-convolutional-network
MLA “Fine-grained predicting urban crowd flows with adaptive spatio-temporal graph convolutional network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fine-grained-predicting-urban-crowd-flows-with-adaptive-spatio-temporal-graph-convolutional-network.
BibTeX @misc{4ortxyz_fine-grained-predicting-urban-crowd-flows-with-adaptive-spatio-temporal-graph-convolutional-network_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fine-grained predicting urban crowd flows with adaptive spatio-temporal graph convolutional network}}, year = {2026}, url = {https://4ort.xyz/entity/fine-grained-predicting-urban-crowd-flows-with-adaptive-spatio-temporal-graph-convolutional-network}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fine-grained predicting urban crowd flows with adaptive spatio-temporal graph convolutional network — https://4ort.xyz/entity/fine-grained-predicting-urban-crowd-flows-with-adaptive-spatio-temporal-graph-convolutional-network (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/fine-grained-predicting-urban-crowd-flows-with-adaptive-spatio-temporal-graph-convolutional-network · Last refreshed: