This repository implements a Morphology-Inspired Heterogeneous Graph Neural Network (MI-HGNN) for estimating contact information on the feet of a quadruped robot. For more details, see our publication ...

This example demonstrates how to use the onCellPrepared event to implement conditional formatting. The onCellPrepared event handler arguments contains the current grid cell element and grid row data, ...

Abstract: The emerging graph neural networks (GNNs) have demonstrated impressive performance on the node classification problem in complex networks. However, existing GNNs are mainly devised to ...

Conditional Independence (CI) graphs are a type of probabilistic graphical models that are primarily used to gain insights about feature relationships. Each edge represents the partial correlation ...

Abstract: Accurate fault classification and location are critical to ensure the reliability and resilience of large-scale power distribution systems (PDSs). The existing data-driven works in this area ...