STAGE framework: A stock dynamic anomaly detection and trend prediction model based on graph attention network and sparse spatiotemporal convolutional network

• Ming Shi,

  Roles Formal analysis, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Faculty of Computing and Meta-Technology, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia

  https://orcid.org/0009-0000-5508-4406

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• Roznim Mohamad Rasli ,

  Roles Methodology, Visualization, Writing – review & editing

  * E-mail: roznim@meta.upsi.edu.my

  Affiliation Faculty of Computing and Meta-Technology, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia

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• Shir Li Wang

  Roles Conceptualization, Methodology, Writing – review & editing

  Affiliation Faculty of Computing and Meta-Technology, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia

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