• Clustering and graph mining techniques for classification of complex structural variations in cancer genomes 

      Gómez Sánchez, Gonzalo; Delgado Serrano, Luisa; Carrera Pérez, David; Torrents Arenales, David; Berral García, Josep Lluís (Nature, 2022-02-28)
      Article
      Accés obert
      For many years, a major question in cancer genomics has been the identification of those variations that can have a functional role in cancer, and distinguish from the majority of genomic changes that have no functional ...
    • Evaluating link prediction on large graphs 

      Garcia Gasulla, Dario; Cortés García, Claudio Ulises; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (IOS Press, 2015)
      Text en actes de congrés
      Accés obert
      Exploiting network data (i.e., graphs) is a rather particular case of data mining. The size and relevance of network domains justifies research on graph mining, but also brings forth severe complications. Computational ...
    • Social based layouts for the increase of locality in graph operations 

      Prat Pérez, Arnau; Domínguez Sal, David; Larriba Pey, Josep (2011)
      Article
      Accés restringit per política de l'editorial
      Graphs provide a natural data representation for analyzing the relationships among entities in many application areas. Since the analysis algorithms perform memory intensive operations, it is important that the graph ...
    • TopoGraph: an end-to-end framework to build and analyze graph cubes 

      Ghrab, Amine; Romero Moral, Óscar; Skhiri, Sabri; Zimányi, Esteban (2021-02)
      Article
      Accés obert
      Graphs are a fundamental structure that provides an intuitive abstraction for modeling and analyzing complex and highly interconnected data. Given the potential complexity of such data, some approaches proposed extending ...