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Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning
Research article (Decision Support Systems, 2021) · cited 52× · AI/ML
Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning
Summary
Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning is a scholarly article[1].
Key Facts
Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning'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). Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/process-data-properties-matter-introducing-gated-convolutional-neural-networks-gcnn-and-key-value-predict-attention-netw
MLA“Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/process-data-properties-matter-introducing-gated-convolutional-neural-networks-gcnn-and-key-value-predict-attention-netw.
BibTeX@misc{4ortxyz_process-data-properties-matter-introducing-gated-convolutional-neural-networks-gcnn-and-key-value-predict-attention-netw_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning}}, year = {2026}, url = {https://4ort.xyz/entity/process-data-properties-matter-introducing-gated-convolutional-neural-networks-gcnn-and-key-value-predict-attention-netw}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning — https://4ort.xyz/entity/process-data-properties-matter-introducing-gated-convolutional-neural-networks-gcnn-and-key-value-predict-attention-netw (retrieved 2026-05-24)
