Emanuele Cavalleri

According to our database, Emanuele Cavalleri authored at least 10 papers between 2023 and 2024.

Collaborative distances:

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

2024

SPIREX: Improving LLM-based relation extraction from RNA-focused scientific literature using graph machine learning.

Emanuele Cavalleri, Mauricio Soto Gomez, Ali Pashaeibarough, Dario Malchiodi, J. Harry Caufield, Justin T. Reese, Chris Mungall, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini, Marco Mesiti

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

Initial achievements in relation extraction from RNA-focused scientific papers.

Emanuele Cavalleri, Mauricio Soto Gomez, Ali Pashaeibarough, Dario Malchiodi, J. Harry Caufield, Justin T. Reese, Christopher J. Mungall, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini, Marco Mesiti

Proceedings of the 32nd Symposium of Advanced Database Systems, 2024

Construction and Enhancement of an RNA-Based Knowledge Graph for Discovering New RNA Drugs.

Emanuele Cavalleri, Marco Mesiti

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

On the Extraction of Meaningful RNA Interactions from Scientific Publications through LLMs and SPIRES.

Emanuele Cavalleri, Marco Mesiti

Proceedings of the Workshops of the EDBT/ICDT 2024 Joint Conference co-located with the EDBT/ICDT 2024 Joint Conference, 2024

Fine-Tuning of Conditional Transformers Improves the Generation of Functionally Characterized Proteins.

Marco Nicolini, Dario Malchiodi, Alberto Cabri, Emanuele Cavalleri, Marco Mesiti, Alberto Paccanaro, Peter N. Robinson, Justin T. Reese, Elena Casiraghi, Giorgio Valentini

Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

REAL: A Retrieval-Augmented Entity Linking Approach for Biomedical Concept Recognition.

Darya Shlyk, Tudor Groza, Marco Mesiti, Stefano Montanelli, Emanuele Cavalleri

Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

2023

RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules.

Emanuele Cavalleri, Alberto Cabri, Mauricio Soto Gomez, Sara Bonfitto, Paolo Perlasca, Jessica Gliozzo, Tiffany J. Callahan, Justin T. Reese, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini, Marco Mesiti

CoRR, 2023

An Open-Source Knowledge Graph Ecosystem for the Life Sciences.

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

CoRR, 2023

Towards the Construction of an RNA-centered Knowledge Graph.

Emanuele Cavalleri, Sara Bonfitto, Alberto Cabri, Jessica Gliozzo, Paolo Perlasca, Mauricio Soto Gomez, Gabriella Trucco, Elena Casiraghi, Giorgio Valentini, Marco Mesiti

Proceedings of the 31st Symposium of Advanced Database Systems, 2023

A Meta-Graph for the Construction of an RNA-Centered Knowledge Graph.

Emanuele Cavalleri, Sara Bonfitto, Alberto Cabri, Jessica Gliozzo, Paolo Perlasca, Mauricio Soto Gomez, Gabriella Trucco, Elena Casiraghi, Giorgio Valentini, Marco Mesiti

Proceedings of the Bioinformatics and Biomedical Engineering, 2023