A Short Journey Through Graph Embedding Techniques - Part 1

Embark on a comprehensive exploration of graph embedding techniques in this lecture by Mario Rosario Guarracino from the University of Cassino and Southern Lazio. Delve into the fundamental concepts and methodologies used to represent complex network structures in lower-dimensional spaces. Gain insights into various embedding algorithms, their applications, and the challenges they address in network analysis. Learn how these techniques can be applied to real-world problems in fields such as social network analysis, recommendation systems, and bioinformatics. This talk, part of a series on complex networks, provides a solid foundation for understanding the importance and utility of graph embeddings in modern data science and machine learning.