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ConvGCN-RF: A hybrid learning model for commuting flow prediction considering geographical semantics and neighborhood effects
Research article (GeoInformatica, 2022) · cited 49× · AI/ML
ConvGCN-RF: A hybrid learning model for commuting flow prediction considering geographical semantics and neighborhood effects
Summary
ConvGCN-RF: A hybrid learning model for commuting flow prediction considering geographical semantics and neighborhood effects is a scholarly article[1].
Key Facts
ConvGCN-RF: A hybrid learning model for commuting flow prediction considering geographical semantics and neighborhood effects's instance of is recorded as scholarly article[2].
References
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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). ConvGCN-RF: A hybrid learning model for commuting flow prediction considering geographical semantics and neighborhood effects. Retrieved May 24, 2026, from https://4ort.xyz/entity/convgcn-rf-a-hybrid-learning-model-for-commuting-flow-prediction-considering-geographical-semantics-and-neighborhood-eff
MLA“ConvGCN-RF: A hybrid learning model for commuting flow prediction considering geographical semantics and neighborhood effects.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/convgcn-rf-a-hybrid-learning-model-for-commuting-flow-prediction-considering-geographical-semantics-and-neighborhood-eff.
BibTeX@misc{4ortxyz_convgcn-rf-a-hybrid-learning-model-for-commuting-flow-prediction-considering-geographical-semantics-and-neighborhood-eff_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ConvGCN-RF: A hybrid learning model for commuting flow prediction considering geographical semantics and neighborhood effects}}, year = {2026}, url = {https://4ort.xyz/entity/convgcn-rf-a-hybrid-learning-model-for-commuting-flow-prediction-considering-geographical-semantics-and-neighborhood-eff}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ConvGCN-RF: A hybrid learning model for commuting flow prediction considering geographical semantics and neighborhood effects — https://4ort.xyz/entity/convgcn-rf-a-hybrid-learning-model-for-commuting-flow-prediction-considering-geographical-semantics-and-neighborhood-eff (retrieved 2026-05-24)
