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cs.LG2023
Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks
Indro Spinelli, Riccardo Bianchini, Simone Scardapane
The rise of graph representation learning as the primary solution for many different network science tasks led to a surge of interest in the fairness of this family of methods. Lin…
cs.PL2023
Multi-graded Featherweight Java
Riccardo Bianchini, Francesco Dagnino, Paola Giannini +1
Resource-aware type systems statically approximate not only the expected result type of a program, but also the way external resources are used, e.g., how many times the value of a…