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Di-GraphGAN: An enhanced adversarial learning framework for accurate spatial-temporal traffic forecasting under data missing scenarios
Research article (Information Sciences, 2024) · cited 12× · AI/ML
Di-GraphGAN: An enhanced adversarial learning framework for accurate spatial-temporal traffic forecasting under data missing scenarios
Summary
Di-GraphGAN: An enhanced adversarial learning framework for accurate spatial-temporal traffic forecasting under data missing scenarios is a scholarly article[1].
Key Facts
Di-GraphGAN: An enhanced adversarial learning framework for accurate spatial-temporal traffic forecasting under data missing scenarios'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). Di-GraphGAN: An enhanced adversarial learning framework for accurate spatial-temporal traffic forecasting under data missing scenarios. Retrieved May 24, 2026, from https://4ort.xyz/entity/di-graphgan-an-enhanced-adversarial-learning-framework-for-accurate-spatial-temporal-traffic-forecasting-under-data-miss
MLA“Di-GraphGAN: An enhanced adversarial learning framework for accurate spatial-temporal traffic forecasting under data missing scenarios.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/di-graphgan-an-enhanced-adversarial-learning-framework-for-accurate-spatial-temporal-traffic-forecasting-under-data-miss.
BibTeX@misc{4ortxyz_di-graphgan-an-enhanced-adversarial-learning-framework-for-accurate-spatial-temporal-traffic-forecasting-under-data-miss_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Di-GraphGAN: An enhanced adversarial learning framework for accurate spatial-temporal traffic forecasting under data missing scenarios}}, year = {2026}, url = {https://4ort.xyz/entity/di-graphgan-an-enhanced-adversarial-learning-framework-for-accurate-spatial-temporal-traffic-forecasting-under-data-miss}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Di-GraphGAN: An enhanced adversarial learning framework for accurate spatial-temporal traffic forecasting under data missing scenarios — https://4ort.xyz/entity/di-graphgan-an-enhanced-adversarial-learning-framework-for-accurate-spatial-temporal-traffic-forecasting-under-data-miss (retrieved 2026-05-24)
