Errica, Federico

1. A Fair Comparison of Graph Neural Networks for Graph Classification
   2019/12/20 by Errica, Federico, Podda, Marco, Bacciu, Davide +1 · 14 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt Engineering
   2024/06/18 by Federico Errica, Giuseppe Siracusano, Errica, Federico +5 · 27 citations
   Social Sciences · Computer Science · #Higher Education Learning Practices #Diverse Research and Applications #Legal Education and Practice Innovations
3. 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
4. Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification
   2021/03/22 by Antonio Carta, Andrea Cossu, Carta, Antonio +5 · 1 citation
   Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Advanced Graph Neural Networks
5. 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
6. Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
   2023/05/17 by Errica, Federico, Niepert, Mathias · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
7. Self-Tuning Hamiltonian Monte Carlo for Accelerated Sampling
   2023/09/24 by Christiansen, Henrik, Errica, Federico, Alesiani, Francesco · 1 citation
   #Computation (stat.CO) #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Soft Condensed Matter (cond-mat.soft) #Statistical Mechanics (cond-mat.stat-mech)
8. History repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting
   2024/04/25 by Gastinger, Julia, Meilicke, Christian, Errica, Federico +3 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)