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DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series
Research article (Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023) · cited 18× · AI/ML
DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series
Summary
DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series is a scholarly article[1].
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DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series'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). DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series. Retrieved May 24, 2026, from https://4ort.xyz/entity/duogat-dual-time-oriented-graph-attention-networks-for-accurate-efficient-and-explainable-anomaly-detection-on-time-seri
MLA“DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/duogat-dual-time-oriented-graph-attention-networks-for-accurate-efficient-and-explainable-anomaly-detection-on-time-seri.
BibTeX@misc{4ortxyz_duogat-dual-time-oriented-graph-attention-networks-for-accurate-efficient-and-explainable-anomaly-detection-on-time-seri_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series}}, year = {2026}, url = {https://4ort.xyz/entity/duogat-dual-time-oriented-graph-attention-networks-for-accurate-efficient-and-explainable-anomaly-detection-on-time-seri}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DuoGAT: Dual Time-oriented Graph Attention Networks for Accurate, Efficient and Explainable Anomaly Detection on Time-series — https://4ort.xyz/entity/duogat-dual-time-oriented-graph-attention-networks-for-accurate-efficient-and-explainable-anomaly-detection-on-time-seri (retrieved 2026-05-24)
