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Context-Aware Instance Matching Through Graph Embedding in Lexical Semantic Space.

, , and . IEA/AIE, volume 11606 of Lecture Notes in Computer Science, page 422-433. Springer, (2019)

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Selected Papers from the Workshop on Computational Biology: Joint with the International Joint Conference on Artificial Intelligence and the International Conference on Machine Learning, 2018., , , , , and . J. Comput. Biol., 26 (6): 507-508 (2019)A data sampling and attribute selection strategy for improving decision tree construction., , , , , and . Expert Syst. Appl., (2019)Instance Matching in Knowledge Graphs Through Dynamic, Distributed and Affinity-Preserving Random Walk., , and . IEEE BigData, page 892-897. IEEE, (2020)Efficiently Mining Recurrent Substructures from Protein Three-Dimensional Structure Graphs., , , and . J. Comput. Biol., 26 (6): 561-571 (2019)Latent network-based representations for large-scale gene expression data analysis., , , and . BMC Bioinform., 19-S (13): 81-90 (2019)From SIR to SEAIRD: A novel data-driven modeling approach based on the Grey-box System Theory to predict the dynamics of COVID-19., , , , and . Appl. Intell., 52 (1): 71-80 (2022)Discovery of Functional Motifs from the Interface Region of Oligomeric Proteins Using Frequent Subgraph Mining., , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 16 (5): 1537-1549 (2019)Data linking over RDF knowledge graphs: A survey., , and . Concurr. Comput. Pract. Exp., (2020)From SIR to SEAIRD: a novel data-driven modeling approach based on the Grey-box System Theory to predict the dynamics of COVID-19., , , , and . CoRR, (2021)BIGMAT: A Distributed Affinity-Preserving Random Walk Strategy for Instance Matching on Knowledge Graphs., , and . IEEE BigData, page 1028-1033. IEEE, (2019)