Home ›
Entities
› academia
› Learning spatial–temporal pairwise and high-order relationships for short-term passenger flow prediction in urban rail transit
Learning spatial–temporal pairwise and high-order relationships for short-term passenger flow prediction in urban rail transit
Research article (Expert Systems with Applications, 2024) · cited 23× · AI/ML
Learning spatial–temporal pairwise and high-order relationships for short-term passenger flow prediction in urban rail transit
Summary
Learning spatial–temporal pairwise and high-order relationships for short-term passenger flow prediction in urban rail transit is a scholarly article[1].
Key Facts
Learning spatial–temporal pairwise and high-order relationships for short-term passenger flow prediction in urban rail transit's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). Learning spatial–temporal pairwise and high-order relationships for short-term passenger flow prediction in urban rail transit. Retrieved May 24, 2026, from https://4ort.xyz/entity/learning-spatialtemporal-pairwise-and-high-order-relationships-for-short-term-passenger-flow-prediction-in-urban-rail-tr
MLA“Learning spatial–temporal pairwise and high-order relationships for short-term passenger flow prediction in urban rail transit.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/learning-spatialtemporal-pairwise-and-high-order-relationships-for-short-term-passenger-flow-prediction-in-urban-rail-tr.
BibTeX@misc{4ortxyz_learning-spatialtemporal-pairwise-and-high-order-relationships-for-short-term-passenger-flow-prediction-in-urban-rail-tr_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning spatial–temporal pairwise and high-order relationships for short-term passenger flow prediction in urban rail transit}}, year = {2026}, url = {https://4ort.xyz/entity/learning-spatialtemporal-pairwise-and-high-order-relationships-for-short-term-passenger-flow-prediction-in-urban-rail-tr}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Learning spatial–temporal pairwise and high-order relationships for short-term passenger flow prediction in urban rail transit — https://4ort.xyz/entity/learning-spatialtemporal-pairwise-and-high-order-relationships-for-short-term-passenger-flow-prediction-in-urban-rail-tr (retrieved 2026-05-24)
