Nature

Inferring gene regulatory networks with graph convolutional network based on causal feature reconstruction

Gene regulatory network (GRN) 1 describe the complex regulatory relationships among genes and is one of the key tools to assist researchers in analyzing and understanding biological processes at the ...
Nature

Graph autoencoder with mirror temporal convolutional networks for traffic anomaly detection

In recent years, intelligent transportation have become increasingly complex due to rapid urbanization and population growth. There is a growing need for abnormal event detection in transportation ...
AlphaGalileo

AdapGNN: A New Framework Enhances Explainability of Graph Neural Networks for Molecular Property Prediction

Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...
Medical Xpress

New model enhances precision in seizure localization for epilepsy patients

A research team led by Prof. Zhan Yang from the Shenzhen Institute of Advanced Technology (SIAT) of the Chinese Academy of Sciences, has recently introduced a novel unsupervised dual-stream model ...
EurekAlert!

Graph convolution machine for context-aware recommender system

The latest advance in recommendation shows that better user and item representations can be learned via performing graph convolutions on the user-item interaction graph. However, such finding is ...