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.

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 ...

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, ...