Robust 'Huber mean' for geometric data protects against noise and outliers

In an era driven by complex data, scientists are increasingly encountering information that doesn't lie neatly on flat, ...
IEEE

Rotation- and Permutation-Equivariant Quantum Graph Neural Network for 3D Graph Data

Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
IEEE

Developing Novel Algorithms for Generating Inexact Data Through Triangle Distribution

Abstract: The manuscript introduces the mathematical representation of the neutrosophic triangular distribution, encompassing probability density functions and cumulative distribution functions. Two ...