Unsupervised Alignment of Graphs and Embeddings: Fundamental Limits and Computational Methods
Institut des Hautes Etudes Scientifiques (IHES) via YouTube
Overview
Explore the fundamental limits and computational methods of unsupervised alignment of graphs and embeddings in this 54-minute lecture by Luca Ganassali from the Institut des Hautes Etudes Scientifiques (IHES). Delve into the complexities of graph theory and machine learning as Ganassali presents cutting-edge research on aligning complex data structures without supervision. Gain insights into the challenges and potential applications of this advanced topic in data science and network analysis.
Syllabus
Luca Ganassali - Unsupervised Alignment of Graphs and Embeddings: ...
Taught by
Institut des Hautes Etudes Scientifiques (IHES)