Federico Errica
- A Gentle Introduction to Deep Learning for Graphs
2019/12/29 by Davide Bacciu, Federico Errica, Alessio Micheli +1 · 2 voices · 5 citations
#cs.LG #cs.SI #stat.ML
- What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt Engineering
2024/06/18 by Federico Errica, Giuseppe Siracusano, Errica, Federico +5 · 24 citations
Social Sciences · Computer Science · #Higher Education Learning Practices #Diverse Research and Applications #Legal Education and Practice Innovations
- Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing
2024/05/23 by Viktor Zaverkin, Francesco Alesiani, Zaverkin, Viktor +13 · 1 voice · 5 citations
Computer Science · Mathematics · #Tensor decomposition and applications #Wireless Communication Networks Research #cs.LG #physics.comp-ph
- Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification
2021/03/22 by Antonio Carta, Carta, Antonio, Andrea Cossu +5 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Advanced Graph Neural Networks
- Oversmoothing, Oversquashing, Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning
2025/05/21 by Adrián Arnaiz-Rodríguez, Federico Errica, Arnaiz-Rodriguez, Adrian +1 · 4 citations
Computer Science · #Advanced Graph Neural Networks