3 papers
cs.AI2026
Towards Agentic Agent-based Models: Feasibility, Performance, and Statistical Model Checking
Stefano Blando, Emanuele Guerrazzi, Riccardo Porcedda +3
Agent-based models (ABMs) rely on simple, explicit and reproducible rules for individual decision making, while complex collective behavior emerges from interactions among agents.…
cs.LG2026
RAwR: Role-Aware Rewiring via Approximate Equitable Partition
Riccardo Porcedda, Giuseppe Squillace, Bastian Epping +4
While Graph Neural Networks (GNNs) have demonstrated significant efficacy in node classification tasks, where predictions rely on local neighborhood information, the performance of…
cs.SI2024
Efficient Network Embedding by Approximate Equitable Partitions
Giuseppe Squillace, Mirco Tribastone, Max Tschaikowski +1
Structural network embedding is a crucial step in enabling effective downstream tasks for complex systems that aims to project a network into a lower-dimensional space while preser…