2 papers
cs.LG2026
Rethinking GNNs and Missing Features: Challenges, Evaluation and a Robust Solution
Francesco Ferrini, Veronica Lachi, Antonio Longa +5
Handling missing node features is a key challenge for deploying Graph Neural Networks (GNNs) in real-world domains such as healthcare and sensor networks. Existing studies mostly a…
cs.LG2026
Degree-Mass Message Passing for Betweenness Ranking in Directed and Undirected Networks
Justin Dachille, Aurora Rossi, Sunil Kumar Maurya +6
Computing the importance of nodes in networks is a long-standing fundamental problem that has driven extensive study of various centrality measures. A particularly well-known centr…