Enhancing generalizability in classification of peripheral neural recordings with graph neural network.

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Title: Enhancing generalizability in classification of peripheral neural recordings with graph neural network.
Authors: Ji RQ; The Edward S. Rogers Sr. Department of Electrical & Computer Engineering, Faculty of Applied Science & Engineering, University of Toronto, Toronto, Ontario, Canada., Dousty M; The Edward S. Rogers Sr. Department of Electrical & Computer Engineering, Faculty of Applied Science & Engineering, University of Toronto, Toronto, Ontario, Canada.; Vector Institute, Toronto, Ontario, Canada., Koh RGL; Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.; KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada., Sejdić E; The Edward S. Rogers Sr. Department of Electrical & Computer Engineering, Faculty of Applied Science & Engineering, University of Toronto, Toronto, Ontario, Canada.; North York General Hospital, Toronto, Ontario, Canada.
Source: PloS one [PLoS One] 2026 Apr 17; Vol. 21 (4), pp. e0345204. Date of Electronic Publication: 2026 Apr 17 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0345204