Home ›
Entities
› academia
› HIT-GCN: Spatial-Temporal Graph Convolutional Network Embedded with Heterogeneous Information of Road Network for Traffic Forecasting
HIT-GCN: Spatial-Temporal Graph Convolutional Network Embedded with Heterogeneous Information of Road Network for Traffic Forecasting
Research article (Electronics, 2023) · cited 10× · AI/ML
HIT-GCN: Spatial-Temporal Graph Convolutional Network Embedded with Heterogeneous Information of Road Network for Traffic Forecasting
Summary
HIT-GCN: Spatial-Temporal Graph Convolutional Network Embedded with Heterogeneous Information of Road Network for Traffic Forecasting is a scholarly article[1].
Key Facts
HIT-GCN: Spatial-Temporal Graph Convolutional Network Embedded with Heterogeneous Information of Road Network for Traffic Forecasting'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). HIT-GCN: Spatial-Temporal Graph Convolutional Network Embedded with Heterogeneous Information of Road Network for Traffic Forecasting. Retrieved May 24, 2026, from https://4ort.xyz/entity/hit-gcn-spatial-temporal-graph-convolutional-network-embedded-with-heterogeneous-information-of-road-network-for-traffic
MLA“HIT-GCN: Spatial-Temporal Graph Convolutional Network Embedded with Heterogeneous Information of Road Network for Traffic Forecasting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hit-gcn-spatial-temporal-graph-convolutional-network-embedded-with-heterogeneous-information-of-road-network-for-traffic.
BibTeX@misc{4ortxyz_hit-gcn-spatial-temporal-graph-convolutional-network-embedded-with-heterogeneous-information-of-road-network-for-traffic_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{HIT-GCN: Spatial-Temporal Graph Convolutional Network Embedded with Heterogeneous Information of Road Network for Traffic Forecasting}}, year = {2026}, url = {https://4ort.xyz/entity/hit-gcn-spatial-temporal-graph-convolutional-network-embedded-with-heterogeneous-information-of-road-network-for-traffic}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): HIT-GCN: Spatial-Temporal Graph Convolutional Network Embedded with Heterogeneous Information of Road Network for Traffic Forecasting — https://4ort.xyz/entity/hit-gcn-spatial-temporal-graph-convolutional-network-embedded-with-heterogeneous-information-of-road-network-for-traffic (retrieved 2026-05-24)
