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GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing

Research article (Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024) · cited 37× · AI/ML
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GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing

Summary

GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing is a scholarly article[1].

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  • GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing. Retrieved May 24, 2026, from https://4ort.xyz/entity/ginar-an-end-to-end-multivariate-time-series-forecasting-model-suitable-for-variable-missing
MLA “GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ginar-an-end-to-end-multivariate-time-series-forecasting-model-suitable-for-variable-missing.
BibTeX @misc{4ortxyz_ginar-an-end-to-end-multivariate-time-series-forecasting-model-suitable-for-variable-missing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing}}, year = {2026}, url = {https://4ort.xyz/entity/ginar-an-end-to-end-multivariate-time-series-forecasting-model-suitable-for-variable-missing}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing — https://4ort.xyz/entity/ginar-an-end-to-end-multivariate-time-series-forecasting-model-suitable-for-variable-missing (retrieved 2026-05-24)

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