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Joint learning from multiple information sources for biological problems. University of Hanover, Germany, (2023)base-search.net (ftunivhannover:oai:www.repo.uni-hannover.de:123456789/14261).A Message Passing framework with Multiple data integration for miRNA-Disease association prediction, , , and . Scientific Reports, (September 2022)MuCoMiD: A Multitask graph Convolutional Learning Framework for miRNA-Disease Association Prediction, , and . IEEE/ACM Transactions on Computational Biology and Bioinformatics, (2022)Multi-label Node Classification On Graph-Structured Data., , , and . Trans. Mach. Learn. Res., (2023)A multitask transfer learning framework for the prediction of virus-human protein-protein interactions., , , and . BMC Bioinform., 22 (1): 572 (2021)Revisiting Feature Selection with Data Complexity., and . BIBE, page 211-216. IEEE, (2020)Towards a consistent evaluation of miRNA-disease association prediction models., and . BIBM, page 1835-1842. IEEE, (2020)A message passing framework with multiple data integration for miRNA-disease association prediction, , , and . Scientific Reports, (September 2022)A data-centric approach for assessing progress of Graph Neural Networks., , , and . CoRR, (2024)A multitask transfer learning framework for the prediction of virus-human protein--protein interactions, , , and . BMC Bioinformatics, 22 (1): 572 (2021)