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TC-GATN: Temporal Causal Graph Attention Networks With Nonlinear Paradigm for Multivariate Time-Series Forecasting in Industrial Processes
Research article (IEEE Transactions on Industrial Informatics, 2022) · cited 41× · AI/ML
TC-GATN: Temporal Causal Graph Attention Networks With Nonlinear Paradigm for Multivariate Time-Series Forecasting in Industrial Processes
Summary
TC-GATN: Temporal Causal Graph Attention Networks With Nonlinear Paradigm for Multivariate Time-Series Forecasting in Industrial Processes is a scholarly article[1].
Key Facts
TC-GATN: Temporal Causal Graph Attention Networks With Nonlinear Paradigm for Multivariate Time-Series Forecasting in Industrial Processes'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). TC-GATN: Temporal Causal Graph Attention Networks With Nonlinear Paradigm for Multivariate Time-Series Forecasting in Industrial Processes. Retrieved May 24, 2026, from https://4ort.xyz/entity/tc-gatn-temporal-causal-graph-attention-networks-with-nonlinear-paradigm-for-multivariate-time-series-forecasting-in-ind
MLA“TC-GATN: Temporal Causal Graph Attention Networks With Nonlinear Paradigm for Multivariate Time-Series Forecasting in Industrial Processes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/tc-gatn-temporal-causal-graph-attention-networks-with-nonlinear-paradigm-for-multivariate-time-series-forecasting-in-ind.
BibTeX@misc{4ortxyz_tc-gatn-temporal-causal-graph-attention-networks-with-nonlinear-paradigm-for-multivariate-time-series-forecasting-in-ind_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{TC-GATN: Temporal Causal Graph Attention Networks With Nonlinear Paradigm for Multivariate Time-Series Forecasting in Industrial Processes}}, year = {2026}, url = {https://4ort.xyz/entity/tc-gatn-temporal-causal-graph-attention-networks-with-nonlinear-paradigm-for-multivariate-time-series-forecasting-in-ind}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): TC-GATN: Temporal Causal Graph Attention Networks With Nonlinear Paradigm for Multivariate Time-Series Forecasting in Industrial Processes — https://4ort.xyz/entity/tc-gatn-temporal-causal-graph-attention-networks-with-nonlinear-paradigm-for-multivariate-time-series-forecasting-in-ind (retrieved 2026-05-24)
