2 citations · 2 across the 1 of their papers we have counts for
2 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.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…