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). A heterogeneous traffic spatio-temporal graph convolution model for traffic prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-heterogeneous-traffic-spatio-temporal-graph-convolution-model-for-traffic-prediction
MLA“A heterogeneous traffic spatio-temporal graph convolution model for traffic prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-heterogeneous-traffic-spatio-temporal-graph-convolution-model-for-traffic-prediction.
BibTeX@misc{4ortxyz_a-heterogeneous-traffic-spatio-temporal-graph-convolution-model-for-traffic-prediction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A heterogeneous traffic spatio-temporal graph convolution model for traffic prediction}}, year = {2026}, url = {https://4ort.xyz/entity/a-heterogeneous-traffic-spatio-temporal-graph-convolution-model-for-traffic-prediction}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A heterogeneous traffic spatio-temporal graph convolution model for traffic prediction — https://4ort.xyz/entity/a-heterogeneous-traffic-spatio-temporal-graph-convolution-model-for-traffic-prediction (retrieved 2026-05-24)
