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What and Who

Neural Enhanced Dynamic Message Passing

Mohammad Mahdi Asmae
Sharif University of Technology
PhD Application Talk
AG 1, AG 2, AG 3, INET, AG 4, AG 5, D6, SWS, RG1, MMCI  
AG Audience
English

Date, Time and Location

Friday, 27 January 2023
09:30
30 Minutes
Virtual talk
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Abstract

Most classical machine learning problems are about structured data which has an

underlying assumption about samples' similarity. Nowadays we encounter many
problems which have unstructured data like graphs, images, etc. This presentation will
discuss one of the problems about probability in graphs (calculating marginal probabilities
in diffusion models) and a method to approximate it. This method includes both a
probabilistic module as well as a Graph Neural Network (GNN).

Contact

Jennifer Gerling
+49 681 9325 1801
--email hidden

Virtual Meeting Details

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Jennifer Gerling, 01/26/2023 17:11 -- Created document.