Explainability techniques applied to road traffic forecasting using Graph Neural Network models

Research article (Information Sciences, 2023) · cited 19× · AI/ML
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Explainability techniques applied to road traffic forecasting using Graph Neural Network models

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Explainability techniques applied to road traffic forecasting using Graph Neural Network models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Explainability techniques applied to road traffic forecasting using Graph Neural Network models. Retrieved May 24, 2026, from https://4ort.xyz/entity/explainability-techniques-applied-to-road-traffic-forecasting-using-graph-neural-network-models
MLA “Explainability techniques applied to road traffic forecasting using Graph Neural Network models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/explainability-techniques-applied-to-road-traffic-forecasting-using-graph-neural-network-models.
BibTeX @misc{4ortxyz_explainability-techniques-applied-to-road-traffic-forecasting-using-graph-neural-network-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Explainability techniques applied to road traffic forecasting using Graph Neural Network models}}, year = {2026}, url = {https://4ort.xyz/entity/explainability-techniques-applied-to-road-traffic-forecasting-using-graph-neural-network-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Explainability techniques applied to road traffic forecasting using Graph Neural Network models — https://4ort.xyz/entity/explainability-techniques-applied-to-road-traffic-forecasting-using-graph-neural-network-models (retrieved 2026-05-24)

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