Home › Entities › academia › Incorporating environmental knowledge embedding and spatial-temporal graph attention networks for inland vessel traffic flow prediction

Incorporating environmental knowledge embedding and spatial-temporal graph attention networks for inland vessel traffic flow prediction

Research article (Engineering Applications of Artificial Intelligence, 2024) · cited 11× · AI/ML
academia openalex:W4393252450
Press Enter · cited answer in seconds

Incorporating environmental knowledge embedding and spatial-temporal graph attention networks for inland vessel traffic flow prediction

Summary

Incorporating environmental knowledge embedding and spatial-temporal graph attention networks for inland vessel traffic flow prediction is a scholarly article[1].

Key Facts

  • Incorporating environmental knowledge embedding and spatial-temporal graph attention networks for inland vessel traffic flow prediction'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). Incorporating environmental knowledge embedding and spatial-temporal graph attention networks for inland vessel traffic flow prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/incorporating-environmental-knowledge-embedding-and-spatial-temporal-graph-attention-networks-for-inland-vessel-traffic-
MLA “Incorporating environmental knowledge embedding and spatial-temporal graph attention networks for inland vessel traffic flow prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/incorporating-environmental-knowledge-embedding-and-spatial-temporal-graph-attention-networks-for-inland-vessel-traffic-.
BibTeX @misc{4ortxyz_incorporating-environmental-knowledge-embedding-and-spatial-temporal-graph-attention-networks-for-inland-vessel-traffic-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Incorporating environmental knowledge embedding and spatial-temporal graph attention networks for inland vessel traffic flow prediction}}, year = {2026}, url = {https://4ort.xyz/entity/incorporating-environmental-knowledge-embedding-and-spatial-temporal-graph-attention-networks-for-inland-vessel-traffic-}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Incorporating environmental knowledge embedding and spatial-temporal graph attention networks for inland vessel traffic flow prediction — https://4ort.xyz/entity/incorporating-environmental-knowledge-embedding-and-spatial-temporal-graph-attention-networks-for-inland-vessel-traffic- (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/incorporating-environmental-knowledge-embedding-and-spatial-temporal-graph-attention-networks-for-inland-vessel-traffic- · Last refreshed: