Multi-resolution Graph Learning Frameworks: Analyzing Alzheimer’s Disease via Structural Connectivity

Genetics / Biotechnology Center Auditorium

Abstract: A graph consists of sets of nodes and edges and is a flexible object to represent intricate relationships between variables. Examples of graphs can be found in 3D mesh, brain connectivity and molecular structure, and even a simple 2D image can be considered as a graph where individual pixels are uniformly connected with neighboring […]

Title TBA

Genetics / Biotechnology Center Auditorium