Search Results for author:
Found 2 papers, 0 papers with code
Motif Prediction with Graph Neural Networks
We also successfully apply our architecture for predicting more arbitrary clusters and communities, illustrating its potential for graph mining beyond motif analysis.
SWAG: A Wrapper Method for Sparse Learning
As a consequence, there is the need to make the outputs of machine learning algorithms more interpretable and to deliver a library of "equivalent" learners (in terms of prediction performance) that users can select based on attribute availability in order to test and/or make use of these learners for predictive/diagnostic purposes.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
