This book presents the features and advantages offered by complex networks in the machine learning domain. In the first part, an overview on complex networks an

This book deals with network representation learning. It deals with embedding nodes, edges, subgraphs and graphs. There is a growing interest in understanding c

Filling a gap in literature, this self-contained book presents theoretical and application-oriented results that allow for a structural exploration of complex n

Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches for Network Analysis pr

This book concentrates on mining networks, a subfield within data science. Mining complex networks to understand the principles governing the organization and t