IEEE

A Complex-Valued Neural Operator for Solving 2-D Wave Equations Based on Graph Neural Networks

Abstract: In this work, we propose a complex-valued neural operator (CV-NeuralOp) based on graph neural networks (GNNs) to solve 2-D wave equations. Inspired by Green’s function method for solving ...
Frontiers

ATOMIC: a graph attention network for atopic dermatitis prediction using human gut microbiome

Introduction: Atopic dermatitis (AD) is a chronic inflammatory skin disease driven by complex interactions among genetic, environmental, and microbial factors; however, its etiology remains unclear.
IEEE

Multivariate Time Series Anomaly Detection Using Learnable Spatial-Temporal Graph Ordinary ...

Abstract: Multivariate time series anomaly detection (MTSAD) plays a critical role in the Internet of Things (IoT) by identifying malfunctions and attacks. Graph Neural Networks (GNNs) have been ...