Luca Cappelletti

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 17

Top Topics

Transition Probabilities

Convolutional Neural Networks

Top Venues

IPDPS Workshops

Publications

Luca Cappelletti, Stefano Taverni, Tommaso Fontana, Marcin P. Joachimiak, Justin T. Reese, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini
Degree-Normalization Improves Random-Walk-Based Embedding Accuracy in PPI Graphs. IWBBIO (2) (2023)
Luca Cappelletti, Tommaso Fontana, Elena Casiraghi, Vida Ravanmehr, Tiffany J. Callahan, Carlos Cano, Marcin P. Joachimiak, Christopher J. Mungall, Peter N. Robinson, Justin T. Reese, Giorgio Valentini
GRAPE for fast and scalable graph processing and random-walk-based embedding. Nat. Comput. Sci. 3 (6) (2023)
Luca Cappelletti, Tommaso Fontana, Oded Green, David A. Bader
Parallel Triangles and Squares Count for Multigraphs Using Vertex Covers. ICCS (4) (2023)
J. Harry Caufield, Tim E. Putman, Kevin Schaper, Deepak R. Unni, Harshad Hegde, Tiffany J. Callahan, Luca Cappelletti, Sierra A. T. Moxon, Vida Ravanmehr, Seth Carbon, Lauren E. Chan, Katherina Cortes, Kent A. Shefchek, Glass Elsarboukh, James P. Balhoff, Tommaso Fontana, Nicolas Matentzoglu, Richard M. Bruskiewich, Anne E. Thessen, Nomi L. Harris, Monica C. Munoz-Torres, Melissa A. Haendel, Peter N. Robinson, Marcin P. Joachimiak, Christopher J. Mungall, Justin T. Reese
KG-Hub - Building and Exchanging Biological Knowledge Graphs. CoRR (2023)
Luca Cappelletti, Tommaso Fontana, Justin T. Reese, David A. Bader
Billion-scale Detection of Isomorphic Nodes. IPDPS Workshops (2023)
Tiffany J. Callahan, Ignacio J. Tripodi, Adrianne L. Stefanski, Luca Cappelletti, Sanya Bathla Taneja, Jordan M. Wyrwa, Elena Casiraghi, Nicolas A. Matentzoglu, Justin T. Reese, Jonathan C. Silverstein, Charles Tapley Hoyt, Richard D. Boyce, Scott A. Malec, Deepak R. Unni, Marcin P. Joachimiak, Peter N. Robinson, Christopher J. Mungall, Emanuele Cavalleri, Tommaso Fontana, Giorgio Valentini, Marco Mesiti, Lucas A. Gillenwater, Brook E. Santangelo, Nicole A. Vasilevsky, Robert Hoehndorf, Tellen D. Bennett, Patrick B. Ryan, George Hripcsak, Michael G. Kahn, Michael Bada, William A. Baumgartner Jr., Lawrence E. Hunter
An Open-Source Knowledge Graph Ecosystem for the Life Sciences. CoRR (2023)
Luca Cappelletti, Alessandro Petrini, Jessica Gliozzo, Elena Casiraghi, Max Schubach, Martin Kircher, Giorgio Valentini
Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques. BMC Bioinform. (2) (2022)
Marcin P. Joachimiak, Harshad Hegde, William D. Duncan, Justin T. Reese, Luca Cappelletti, Anne E. Thessen, Christopher J. Mungall
KG-Microbe: A Reference Knowledge-Graph and Platform for Harmonized Microbial Information. ICBO (2021)
Luca Cappelletti, Tommaso Fontana, Elena Casiraghi, Vida Ravanmehr, Tiffany J. Callahan, Marcin P. Joachimiak, Christopher J. Mungall, Peter N. Robinson, Justin T. Reese, Giorgio Valentini
GraPE: fast and scalable Graph Processing and Embedding. CoRR (2021)
Sara Bonfitto, Luca Cappelletti, Elena Casiraghi, Paolo Perlasca, Fabrizio Trovato, Giorgio Valentini, Marco Mesiti
A Web Tool for the Semantic Integration of Heterogeneous and Complex Spreadsheet Tables. SEBD (2021)
Giorgio Valentini, Elena Casiraghi, Luca Cappelletti, Vida Ravanmehr, Tommaso Fontana, Justin T. Reese, Peter N. Robinson
Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding. CoRR (2021)
Sara Bonfitto, Luca Cappelletti, Fabrizio Trovato, Giorgio Valentini, Marco Mesiti
Semi-automatic Column Type Inference for CSV Table Understanding. SOFSEM (2021)
Justin T. Reese, Deepak R. Unni, Tiffany J. Callahan, Luca Cappelletti, Vida Ravanmehr, Seth Carbon, Kent A. Shefchek, Benjamin M. Good, James P. Balhoff, Tommaso Fontana, Hannah Blau, Nicolas Matentzoglu, Nomi L. Harris, Monica C. Munoz-Torres, Melissa A. Haendel, Peter N. Robinson, Marcin P. Joachimiak, Christopher J. Mungall
KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response. Patterns 2 (1) (2021)
Luca Cappelletti, Alessandro Petrini, Jessica Gliozzo, Elena Casiraghi, Max Schubach, Martin Kircher, Giorgio Valentini
Bayesian Optimization Improves Tissue-Specific Prediction of Active Regulatory Regions with Deep Neural Networks. IWBBIO (2020)
Luca Cappelletti, Tommaso Fontana, Guido Walter Di Donato, Lorenzo Di Tucci, Elena Casiraghi, Giorgio Valentini
Complex Data Imputation by Auto-Encoders and Convolutional Neural Networks - A Case Study on Genome Gap-Filling. Comput. 9 (2) (2020)
Elena Casiraghi, Dario Malchiodi, Gabriella Trucco, Marco Frasca, Luca Cappelletti, Tommaso Fontana, Alessandro Andrea Esposito, Emanuele Avola, Alessandro Jachetti, Justin T. Reese, Alessandro Rizzi, Peter N. Robinson, Giorgio Valentini
Explainable Machine Learning for Early Assessment of COVID-19 Risk Prediction in Emergency Departments. IEEE Access 8 (2020)
Luca Cappelletti, Stefano Valtolina, Giorgio Valentini, Marco Mesiti, Elisa Bertino
On the Quality of Classification Models for Inferring ABAC Policies from Access Logs. IEEE BigData (2019)