Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with ...

To maximize the influence across multiple heterogeneous networks, we propose an innovative cross-network learning model to study the influence maximization problem from two perspectives, namely, seed ...

Charts and graphs : guidelines for the visual presentation of statistical data in the life sciences by Simmonds, Doig; Bragg, Gillian; Institute ofMedical and Biological Illustration Publication date ...

Compact representation of graph data is a fundamental problem in pattern recognition and machine learning area. Recently, graph neural networks (GNNs) have been widely studied for graph-structured ...

Meteorologists are losing a sophisticated tool that has proved invaluable when monitoring and forecasting hurricanes.

Weather experts are warning that hurricane forecasts will be severely hampered by the upcoming cutoff of key data from U.S. Department of Defense satellites, the latest Trump administration move wi… ...

Weather experts are warning that hurricane forecasts will be severely hampered by the upcoming cutoff of key data from U.S. Department of Defense satellites. It is the latest move by the Trump ...

New federal cuts to satellite data add to worries about hurricane season forecasts By Roberto Villalpando, Anthony Franze, Staff writers June 27, 2025 ...