Deidda, Piero

1. Nodal domain count for the generalized graph p-Laplacian
   2022/01/04 by Deidda, Piero, Putti, Mario, Tudisco, Francesco · 4 citations
   #Analysis of PDEs (math.AP) #FOS: Mathematics #Numerical Analysis (math.NA)
2. Are We Measuring Oversmoothing in Graph Neural Networks Correctly?
   2025/02/07 by Kaicheng Zhang, Piero Deidda, Zhang, Kaicheng +5 · 4 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
3. Graph p-Laplacian eigenpairs as saddle points of a family of spectral energy functions
   2024/05/11 by Piero Deidda, Deidda, Piero, Nicola Segala +3 · 1 citation
   Mathematics · #FOS: Mathematics #Graph theory and applications #Numerical Analysis (math.NA) #Spectral Theory in Mathematical Physics #advanced mathematical theories