Network Science Meets AI: A Converging Frontier

The convergence of network science and artificial intelligence (AI) represents a rich area of research, where both fields can mutually enhance one another. Network science offers a comprehensive framework to analyze and model complex relationships, while machine learning (ML) and AI provide powerful tools for recognizing patterns and making predictions from large datasets. Combining these two disciplines can advance the study of complex systems and lead to new innovations in data-driven research. This tutorial paper reviews fundamental concepts of network science, describes the current and promising research direction for bridging network science and AI, and summarizes the contributions that have been accepted for publication in the ESANN 2025 special session on the topic.