most citedPersGNN: Applying Topological Data Analysis and Geometric Deep Learning to Structure-Based Protein Function Prediction

5 citations · 5 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2020

Topological Regularization via Persistence-Sensitive Optimization

Arnur Nigmetov, Aditi S. Krishnapriyan, Nicole Sanderson +1

Optimization, a key tool in machine learning and statistics, relies on regularization to reduce overfitting. Traditional regularization methods control a norm of the solution to en…