2 papers
cs.LG2023
Graph Neural Networks and Time Series as Directed Graphs for Quality Recognition
Angelica Simonetti, Ferdinando Zanchetta
Graph Neural Networks (GNNs) are becoming central in the study of time series, coupled with existing algorithms as Temporal Convolutional Networks and Recurrent Neural Networks. In…
cs.LG2023
Deep Learning and Geometric Deep Learning: an introduction for mathematicians and physicists
R. Fioresi, F. Zanchetta
In this expository paper we want to give a brief introduction, with few key references for further reading, to the inner functioning of the new and successfull algorithms of Deep L…