Neuberger High Yield Strategies Fund (NHS) yields 16.66% but NAV drops and income coverage warn of a payout cut.

Recessions are not predictable with precision. But they are priceable, and at 40% to 50% probability, the risk deserves portfolio-level attention. The investors best positioned for whatever happens ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

Abstract: R-convolution graph kernels are conventional methods for graph classification. They decompose graphs into substructures and aggregate all the substructure similarity as graph similarity.

Life is uncertain. None of us know what is going to happen. We know little of what has happened in the past or is happening now outside our immediate experience. Uncertainty has been called the ...

Abstract: Graph classification is a hot topic of machine learning for graph-structured data, and it is also a very potential and valuable research. However, the difficulty of graph classification is ...

The precise fault localization holds significant importance in reducing power outage duration and frequency in power systems. The widespread application of synchrophasor measurement technology (PMU) ...

You can head to the releases section and download the latest version. Extract the file and run the jar file. To use the app, just add your nodes/stations to the graph ...