most citedInterpretability is not Explainability: New Quantitative XAI Approach with a focus on Recommender Systems in Education

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cs.LG2026

RAwR: Role-Aware Rewiring via Approximate Equitable Partition

Riccardo Porcedda, Giuseppe Squillace, Bastian Epping +4

While Graph Neural Networks (GNNs) have demonstrated significant efficacy in node classification tasks, where predictions rely on local neighborhood information, the performance of…

cs.LG2026

GravityGraphSAGE: Link Prediction in Directed Attributed Graphs

Riccardo Porcedda, Francesca Chiaromonte, Fabrizio Lillo +1

Link prediction (inferring missing or future connections between nodes in a graph) is a fundamental problem in network science with widespread applications in, e.g., biological sys…