The symposium brings together leading experts from universities, industry, and government to explore the state of the art and define a future roadmap in network science. The themes of this year’s symposium are domain-informed models and learning and fundamental learning limits of graphs. The sessions explore relevant applications and the challenges they pose, along with algorithmic techniques and theoretical analysis. This symposium is by invitation only.
Credit: Ki-Hwan Nam, Open Access, affiliated with the Department of Aerospace and Mechanical Engineering, University of Arizona, Tucson, Arizona
Hosted By: MIT Lincoln Laboratory
Location: Lexington, Massachusetts
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