IEEE

Groundwater Level Forecasting Using Spatio-Temporal Graph Convolutional Networks (GCNs) and XGBoost

Abstract: This research analyzes groundwater levels across multiple districts using data from over 100 observation wells in each district. To capture seasonal variations and predict groundwater ...
IEEE

GRNNLink: Predicting gene regulatory links from single-cell RNA-seq data using graph recurrent neural network

Abstract: Single-cell RNA sequencing (scRNA-seq) technology offers unprecedented opportunities for inferring gene regulatory networks (GRNs) at the genome level. However, scRNA-seq data is highly ...