1 code implementation • 9 Nov 2018 • Vito M. Leli, Saeed Osat, Timur Tlyachev, Dmitry V. Dylov, Jacob D. Biamonte
We show that modern machine learning architectures, such as fully connected and convolutional neural networks, can classify and predict the presence of super-diffusion in multiplex networks with 94. 12\% accuracy.