Hello everyone,

Today we will be having a Statistics and Data Science seminar. The seminar is scheduled for 4:30pm and it will be online. You can join us via Zoom using this link

https://tennessee.zoom.us/j/96392413902

This time, Dr Wang, UTC will be our speak. The title and abstract are listed below.

Best,
Ioannis




Speaker: Yingfeng Wang, University of Tennessee at Chattanooga

Title: Using Noise Injection to Improve Graph Autoencoder Training

Abstract: Autoencoder has been widely applied in many areas such as dimension reduction, image processing, and natural language processing. Recently, researchers have developed graph autoencoders to process graph data. The training of graph autoencoders aims to minimize the difference between the input graphs and reconstructed graphs. This presentation will introduce a noise injection strategy for improving graph autoencoder training. This strategy adds perturbations to the input data to overcome overfitting. Since only training data are changed, this strategy can fit most training algorithms. 






—
Ioannis Sgouralis, Ph.D.

Assistant Professor
Department of Mathematics
University of Tennessee, Knoxville
e-mail: [log in to unmask]
web: https://www.math.utk.edu/info/labs/sgouralis
zoom: tennessee.zoom.us/my/sgouralis
twitter: @SgouralResearch


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