Home /  Workshop /  Schedules /  Attributed Stochastic Block Models as Benchmark Datasets for Theoretical Analysis of Graph Neural Networks

Attributed Stochastic Block Models as Benchmark Datasets for Theoretical Analysis of Graph Neural Networks

Detection, Estimation, and Reconstruction in Networks April 21, 2025 - April 25, 2025

April 22, 2025 (03:30 PM PDT - 04:30 PM PDT)
Speaker(s): Lenka Zdeborova
Location: SLMath: Eisenbud Auditorium, Online/Virtual
Primary Mathematics Subject Classification No Primary AMS MSC
Secondary Mathematics Subject Classification No Secondary AMS MSC
Video

Attributed Stochastic Block Models as Benchmark Datasets for Theoretical Analysis of Graph Neural Networks

Abstract

Zoom Link

Supplements No Notes/Supplements Uploaded
Video/Audio Files

Attributed Stochastic Block Models as Benchmark Datasets for Theoretical Analysis of Graph Neural Networks

Troubles with video?

Please report video problems to itsupport@slmath.org.

See more of our Streaming videos on our main VMath Videos page.