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Giovanni Micale
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2020 – today
- 2024
- [j8]Vincenzo Bonnici, Roberto Grasso, Giovanni Micale, Antonio Di Maria, Dennis Shasha, Alfredo Pulvirenti, Rosalba Giugno:
ArcMatch: high-performance subgraph matching for labeled graphs by exploiting edge domains. Data Min. Knowl. Discov. 38(6): 3868-3921 (2024) - [c5]Emanuele Martorana, Roberto Grasso, Giovanni Micale, Salvatore Alaimo, Dennis E. Shasha, Rosalba Giugno, Alfredo Pulvirenti:
Motif Finding Algorithms: A Performance Comparison. From Computational Logic to Computational Biology 2024: 250-267 - [i4]Mattia Fumagalli, Tiago Prince Sales, Pedro Paulo F. Barcelos, Giovanni Micale, Vadim Zaytsev, Diego Calvanese, Giancarlo Guizzardi:
Mining Frequent Structures in Conceptual Models. CoRR abs/2406.07129 (2024) - 2021
- [j7]Giovanni Micale, Giorgio Locicero, Alfredo Pulvirenti, Alfredo Ferro:
TemporalRI: subgraph isomorphism in temporal networks with multiple contacts. Appl. Netw. Sci. 6(1): 55 (2021) - [j6]Roberto Grasso, Giovanni Micale, Alfredo Ferro, Alfredo Pulvirenti:
MODIT: MOtif DIscovery in Temporal Networks. Frontiers Big Data 4 (2021) - 2020
- [j5]Emanuele Martorana, Giovanni Micale, Alfredo Ferro, Alfredo Pulvirenti:
Establish the expected number of induced motifs on unlabeled graphs through analytical models. Appl. Netw. Sci. 5(1): 58 (2020) - [c4]Giorgio Locicero, Giovanni Micale, Alfredo Pulvirenti, Alfredo Ferro:
TemporalRI: A Subgraph Isomorphism Algorithm for Temporal Networks. COMPLEX NETWORKS (2) 2020: 675-687 - [i3]Giovanni Micale, Vincenzo Bonnici, Alfredo Ferro, Dennis E. Shasha, Rosalba Giugno, Alfredo Pulvirenti:
MultiRI: Fast Subgraph Matching in Labeled Multigraphs. CoRR abs/2003.11546 (2020)
2010 – 2019
- 2019
- [j4]Giovanni Micale, Alfredo Pulvirenti, Alfredo Ferro, Rosalba Giugno, Dennis E. Shasha:
Fast methods for finding significant motifs on labelled multi-relational networks. J. Complex Networks 7(6): 817-837 (2019) - [c3]Emanuele Martorana, Giovanni Micale, Alfredo Ferro, Alfredo Pulvirenti:
Establish the Expected Number of Injective Motifs on Unlabeled Graphs Through Analytical Models. COMPLEX NETWORKS (2) 2019: 255-267 - 2018
- [j3]Davide S. Sardina, Giovanni Micale, Alfredo Ferro, Alfredo Pulvirenti, Rosalba Giugno:
INBIA: a boosting methodology for proteomic network inference. BMC Bioinform. 19-S(7): 77-88 (2018) - [j2]Giovanni Micale, Rosalba Giugno, Alfredo Ferro, Misael Mongiovì, Dennis E. Shasha, Alfredo Pulvirenti:
Fast analytical methods for finding significant labeled graph motifs. Data Min. Knowl. Discov. 32(2): 504-531 (2018) - [c2]Antonino Aparo, Vincenzo Bonnici, Giovanni Micale, Alfredo Ferro, Dennis E. Shasha, Alfredo Pulvirenti, Rosalba Giugno:
Simple Pattern-only Heuristics Lead to Fast Subgraph Matching Strategies on Very Large Networks. PACBB 2018: 131-138 - [p1]Misael Mongiovì, Giovanni Micale, Alfredo Ferro, Rosalba Giugno, Alfredo Pulvirenti, Dennis E. Shasha:
gLabTrie: A Data Structure for Motif Discovery with Constraints. Graph Data Management 2018: 71-95 - 2017
- [c1]Andre Petermann, Giovanni Micale, Giacomo Bergami, Alfredo Pulvirenti, Erhard Rahm:
Mining and ranking of generalized multi-dimensional frequent subgraphs. ICDIM 2017: 236-245 - 2016
- [j1]Vincenzo Bonnici, Federico Busato, Giovanni Micale, Nicola Bombieri, Alfredo Pulvirenti, Rosalba Giugno:
APPAGATO: an APproximate PArallel and stochastic GrAph querying TOol for biological networks. Bioinform. 32(14): 2159-2166 (2016) - 2015
- [b1]Giovanni Micale:
A Gibbs sampling strategy for mining of protein-protein interaction networks and protein structures. University of Pisa, Italy, 2015 - [i2]Fabio Rinnone, Giovanni Micale, Vincenzo Bonnici, Gary D. Bader, Dennis E. Shasha, Alfredo Ferro, Alfredo Pulvirenti, Rosalba Giugno:
NetMatchStar: an enhanced Cytoscape network querying app. F1000Research 4: 479 (2015) - 2014
- [i1]Giovanni Micale, Andrea Continella, Alfredo Ferro, Rosalba Giugno, Alfredo Pulvirenti:
GASOLINE: a Cytoscape app for multiple local alignment of PPI networks. F1000Research 3: 140 (2014)
Coauthor Index
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last updated on 2024-11-08 20:29 CET by the dblp team
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