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Construction of Refined Protein Interaction Network for Predicting Essential Proteins., , , , , и . IEEE ACM Trans. Comput. Biol. Bioinform., 16 (4): 1386-1397 (2019)Efficient closeness centrality computation in time-evolving graphs., , , и . ASONAM, стр. 378-385. ACM, (2019)Graph Convolutional Network Using a Reliability-Based Feature Aggregation Mechanism., , , , и . DASFAA (1), том 12112 из Lecture Notes in Computer Science, стр. 536-552. Springer, (2020)An Accelerator of Feature Selection Applying a General Fuzzy Rough Model., , , и . PAKDD (2), том 11440 из Lecture Notes in Computer Science, стр. 603-614. Springer, (2019)Relating Diseases Based on Disease Module Theory., , , , , , и . ISBRA, том 10330 из Lecture Notes in Computer Science, стр. 24-33. Springer, (2017)Learning to Diversify Patch-Based Priors for Remote Sensing Image Restoration., , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 8 (11): 5225-5245 (2015)Computational Drug Repositioning with Random Walk on a Heterogeneous Network., , , , , , , и . IEEE ACM Trans. Comput. Biol. Bioinform., 16 (6): 1890-1900 (2019)Efficient temporal graph processing : shortest paths, closeness centralities and S-cliques. Nanyang Technological University, Singapore, (2021)Partial Label Learning via Generative Adversarial Nets., , , , , , и . ECAI, том 325 из Frontiers in Artificial Intelligence and Applications, стр. 1674-1681. IOS Press, (2020)A novel approach based on deep residual learning to predict drug's anatomical therapeutic chemical code., , , , и . BIBM, стр. 921-926. IEEE, (2020)