Graph Adjacency Spectral Embeddings - Algorithmic Advances and Applications

Explore graph adjacency spectral embeddings through this 1-hour 13-minute webinar presented by Gonzalo Mateos from the University of Rochester. Delve into algorithmic advances and applications as part of the Data sciEnce on GrAphS (DEGAS) Webinar Series, organized in collaboration with the IEEE Signal Processing Society Data Science Initiative. Gain insights into this specialized topic within graph theory and data science, learning about cutting-edge techniques and their practical implementations. Enhance your understanding of spectral graph theory and its relevance to modern data analysis and signal processing applications.

Graph adjacency spectral embeddings: Algorithmic advances and applications