2 papers
cs.LG2026
Learning Resilient Elections with Adversarial GNNs
Hao Xiang Li, Yash Shah, Lorenzo Giusti
In the face of adverse motives, it is indispensable to achieve a consensus. Elections have been the canonical way by which modern democracy has operated since the 17th century. Now…
cs.LG2024
Generalized Simplicial Attention Neural Networks
Claudio Battiloro, Lucia Testa, Lorenzo Giusti +3
Graph machine learning methods excel at leveraging pairwise relations present in the data. However, graphs are unable to fully capture the multi-way interactions inherent in many c…