15 citations · 33 across the 3 of their papers we have counts for
4 papers
VitaGraph: Building a Knowledge Graph for Biologically Relevant Learning Tasks
Francesco Madeddu, Lucia Testa, Gianluca De Carlo +5
The intrinsic complexity of human biology presents ongoing challenges to scientific understanding. Researchers collaborate across disciplines to expand our knowledge of the biologi…
Kolmogorov-Arnold Graph Neural Networks
Gianluca De Carlo, Andrea Mastropietro, Aris Anagnostopoulos
Graph neural networks (GNNs) excel in learning from network-like data but often lack interpretability, making their application challenging in domains requiring transparent decisio…
AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes
Marianna Maranghi, Aris Anagnostopoulos, Irene Cannistraci +13
The Associazione Medici Diabetologi (AMD) collects and manages one of the largest worldwide-available collections of diabetic patient records, also known as the AMD database. This…
NIAPU: network-informed adaptive positive-unlabeled learning for disease gene identification
Paola Stolfi, Andrea Mastropietro, Giuseppe Pasculli +2
Gene-disease associations are fundamental for understanding disease etiology and developing effective interventions and treatments. Identifying genes not yet associated with a dise…