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pro vyhledávání: '"Guidobene, Davide"'
Autor:
Guidobene, Davide, Cera, Guido
The Maximum Common Subgraph (MCS) problem plays a crucial role across various domains, bridging theoretical exploration and practical applications in fields like bioinformatics and social network analysis. Despite its wide applicability, MCS is notor
Externí odkaz:
http://arxiv.org/abs/2403.08703
Deep Graph Neural Networks struggle with oversmoothing. This paper introduces a novel, physics-inspired GNN model designed to mitigate this issue. Our approach integrates with existing GNN architectures, introducing an entropy-aware message passing t
Externí odkaz:
http://arxiv.org/abs/2403.04636