activity
20232026
most citedExploring the evolution of research topics during the COVID-19 pandemic

12 citations · 27 across the 4 of their papers we have counts for

collaborators

5 papers

cs.HC2026

Empowering Users in Graph Rule Mining via Large Language Models

Francesco Cambria, Francesco Invernici, Andrea Colombo +1

In the era of interconnected data, graphs have emerged as an effective abstraction for modeling complex systems in an intuitive format, especially with the rise of Property Graphs,…

cs.CL2024★ 11 cited

Capturing research literature attitude towards Sustainable Development Goals: an LLM-based topic modeling approach

Francesco Invernici, Francesca Curati, Jelena Jakimov +2

The world is facing a multitude of challenges that hinder the development of human civilization and the well-being of humanity on the planet. The Sustainable Development Goals (SDG…

cs.DB2024★ 2 cited

MINE GRAPH RULE: A New Cypher-like Operator for Mining Association Rules on Property Graphs

Francesco Cambria, Francesco Invernici, Anna Bernasconi +1

Mining information from graph databases is becoming overly important. To approach this problem, current methods focus on identifying subgraphs with specific topologies; as of today…

cs.CL2023★ 12 cited

Exploring the evolution of research topics during the COVID-19 pandemic

Francesco Invernici, Anna Bernasconi, Stefano Ceri

The COVID-19 pandemic has changed the research agendas of most scientific communities, resulting in an overwhelming production of research articles in a variety of domains, includi…

cs.IR2023★ 2 cited

Searching COVID-19 Clinical Research Using Graph Queries: Algorithm Development and Validation

Francesco Invernici, Anna Bernasconi, Stefano Ceri

Objective: This study aims to consider small graphs of concepts and exploit them for expressing graph searches over existing COVID-19-related literature, leveraging the increasing…