Solar power has entered an exponential growth phase, reshaping global energy systems as the cheapest, fastest-growing, and ...

A reply network was extracted from the data set, and exponential random graph models were used to discover patterns of information exchange and social support from the network. Results: Results showed ...

Discover what exponential growth is, learn how it differs from other growth types, and explore real-life examples like compounding interest and population growth.

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...

Abstract: Many signals are modeled as a superposition of exponential functions in spectroscopy of chemistry, biology, and medical imaging. This paper studies the problem of recovering exponential ...

School of Chemistry, University of Birmingham, Edgbaston, Birmingham B15 2TT, U.K. School of Chemistry, University of Birmingham, Edgbaston, Birmingham B15 2TT, U.K ...

Abstract: Existing message passing-based and transformer-based graph neural networks (GNNs) cannot satisfy requirements for learning representative graph embeddings due to restricted receptive fields, ...