Giovanni Micale

According to our database, Giovanni Micale authored at least 19 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ArcMatch: high-performance subgraph matching for labeled graphs by exploiting edge domains.

Vincenzo Bonnici, Roberto Grasso, Giovanni Micale, Antonio Di Maria, Dennis Shasha, Alfredo Pulvirenti, Rosalba Giugno

Data Min. Knowl. Discov., November, 2024

Mining Frequent Structures in Conceptual Models.

Mattia Fumagalli, Tiago Prince Sales, Pedro Paulo F. Barcelos, Giovanni Micale, Vadim Zaytsev, Diego Calvanese, Giancarlo Guizzardi

CoRR, 2024

Motif Finding Algorithms: A Performance Comparison.

Emanuele Martorana, Roberto Grasso, Giovanni Micale, Salvatore Alaimo, Dennis E. Shasha, Rosalba Giugno, Alfredo Pulvirenti

Proceedings of the From Computational Logic to Computational Biology, 2024

2021

MODIT: MOtif DIscovery in Temporal Networks.

Roberto Grasso, Giovanni Micale, Alfredo Ferro, Alfredo Pulvirenti

Frontiers Big Data, 2021

TemporalRI: subgraph isomorphism in temporal networks with multiple contacts.

Giovanni Micale, Giorgio Locicero, Alfredo Pulvirenti, Alfredo Ferro

Appl. Netw. Sci., 2021

2020

MultiRI: Fast Subgraph Matching in Labeled Multigraphs.

Giovanni Micale, Vincenzo Bonnici, Alfredo Ferro, Dennis E. Shasha, Rosalba Giugno, Alfredo Pulvirenti

CoRR, 2020

Establish the expected number of induced motifs on unlabeled graphs through analytical models.

Emanuele Martorana, Giovanni Micale, Alfredo Ferro, Alfredo Pulvirenti

Appl. Netw. Sci., 2020

TemporalRI: A Subgraph Isomorphism Algorithm for Temporal Networks.

Giorgio Locicero, Giovanni Micale, Alfredo Pulvirenti, Alfredo Ferro

Proceedings of the Complex Networks & Their Applications IX, 2020

2019

Fast methods for finding significant motifs on labelled multi-relational networks.

Giovanni Micale, Alfredo Pulvirenti, Alfredo Ferro, Rosalba Giugno, Dennis E. Shasha

J. Complex Networks, 2019

Establish the Expected Number of Injective Motifs on Unlabeled Graphs Through Analytical Models.

Emanuele Martorana, Giovanni Micale, Alfredo Ferro, Alfredo Pulvirenti

Proceedings of the Complex Networks and Their Applications VIII, 2019

2018

Fast analytical methods for finding significant labeled graph motifs.

Giovanni Micale, Rosalba Giugno, Alfredo Ferro, Misael Mongiovì, Dennis E. Shasha, Alfredo Pulvirenti

Data Min. Knowl. Discov., 2018

INBIA: a boosting methodology for proteomic network inference.

Davide S. Sardina, Giovanni Micale, Alfredo Ferro, Alfredo Pulvirenti, Rosalba Giugno

BMC Bioinform., 2018

Simple Pattern-only Heuristics Lead to Fast Subgraph Matching Strategies on Very Large Networks.

Antonino Aparo, Vincenzo Bonnici, Giovanni Micale, Alfredo Ferro, Dennis E. Shasha, Alfredo Pulvirenti, Rosalba Giugno

Proceedings of the Practical Applications of Computational Biology and Bioinformatics, 2018

gLabTrie: A Data Structure for Motif Discovery with Constraints.

Misael Mongiovì, Giovanni Micale, Alfredo Ferro, Rosalba Giugno, Alfredo Pulvirenti, Dennis E. Shasha

Proceedings of the Graph Data Management, Fundamental Issues and Recent Developments., 2018

2017

Mining and ranking of generalized multi-dimensional frequent subgraphs.

Andre Petermann, Giovanni Micale, Giacomo Bergami, Alfredo Pulvirenti, Erhard Rahm

Proceedings of the Twelfth International Conference on Digital Information Management, 2017

2016

APPAGATO: an APproximate PArallel and stochastic GrAph querying TOol for biological networks.

Vincenzo Bonnici, Federico Busato, Giovanni Micale, Nicola Bombieri, Alfredo Pulvirenti, Rosalba Giugno

Bioinform., 2016

2015

A Gibbs sampling strategy for mining of protein-protein interaction networks and protein structures.

Giovanni Micale

PhD thesis, 2015

NetMatchStar: an enhanced Cytoscape network querying app.

Fabio Rinnone, Giovanni Micale, Vincenzo Bonnici, Gary D. Bader, Dennis E. Shasha, Alfredo Ferro, Alfredo Pulvirenti, Rosalba Giugno

F1000Research, 2015

2014

GASOLINE: a Cytoscape app for multiple local alignment of PPI networks.

Giovanni Micale, Andrea Continella, Alfredo Ferro, Rosalba Giugno, Alfredo Pulvirenti

F1000Research, 2014