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On the design of a similarity function for sparse binary data with application on protein function annotation.

, , , , , , , and . Knowl. Based Syst., (2022)

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Negative sampling and rule mining for explainable link prediction in knowledge graphs., , and . Knowl. Based Syst., (2022)A data sampling and attribute selection strategy for improving decision tree construction., , , , , and . Expert Syst. Appl., (2019)Special issue on Üncertainty in Cloud Computing: Concepts, Challenges and Current Solutions"., , , and . Int. J. Approx. Reason., (2019)A Semi-supervised Graph Deep Neural Network for Automatic Protein Function Annotation., , , , and . IWBBIO (2), volume 13347 of Lecture Notes in Computer Science, page 153-166. Springer, (2022)A comparative study of similarity-based and GNN-based link prediction approaches., , and . CoRR, (2020)Découverte de connaissances à partir de grands graphes biologiques. (Knowledge discovery from large biological graphs / Knowledge discovery from large biological graphs: Knowledge discovery from large biological graphs).. (2023)GrAPFI: predicting enzymatic function of proteins from domain similarity graphs., , and . BMC Bioinform., 21 (1): 168 (2020)Special issue on Ädvances on Large Evolving Graphs"., , , and . Future Gener. Comput. Syst., (2020)A distributed and incremental algorithm for large-scale graph clustering., , , , and . Future Gener. Comput. Syst., (2022)Exploiting Complex Protein Domain Networks for Protein Function Annotation., , and . COMPLEX NETWORKS (2), volume 813 of Studies in Computational Intelligence, page 598-610. Springer, (2018)