TGNet: tensor-based graph convolutional networks for multimodal brain network analysis.
Saved in:
| Title: | TGNet: tensor-based graph convolutional networks for multimodal brain network analysis. |
|---|---|
| Authors: | Kong Z; School of Software Engineering, South China University of Technology, 382 Waihuan Dong Road, Guangzhou, 510006, China., Zhou R; Department of Computer Science and Engineering, Lehigh University, 113 Research Drive, Bethlehem, 18015, PA, USA., Luo X; Department of Computer Science and Engineering, Lehigh University, 113 Research Drive, Bethlehem, 18015, PA, USA., Zhao S; Department of Computer Science and Engineering, Lehigh University, 113 Research Drive, Bethlehem, 18015, PA, USA., Ragin AB; Department of Radiology, Northwestern University, 737 N. Michigan Avenue, Chicago, 60611, IL, USA., Leow AD; Department of Psychiatry, University of Illinois Chicago, 1601 W. Taylor Street, Chicago, 60612, IL, USA., He L; Department of Computer Science and Engineering, Lehigh University, 113 Research Drive, Bethlehem, 18015, PA, USA. lih319@lehigh.edu. |
| Source: | BioData mining [BioData Min] 2024 Dec 06; Vol. 17 (1), pp. 55. Date of Electronic Publication: 2024 Dec 06. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101319161 Publication Model: Electronic Cited Medium: Print ISSN: 1756-0381 (Print) Linking ISSN: 17560381 NLM ISO Abbreviation: BioData Min Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1756-0381 |
|---|---|
| DOI: | 10.1186/s13040-024-00409-6 |
