AI deciphers long-range DNA signals behind RNA splicing

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...
Mirage News

AI in Materials: Revealing Model Prediction Insights

A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has ...
IEEE

VNF-FG Placement and Admission Control in SDN and NFV-Enabled IoT Networks: A Hierarchical Deep Reinforcement Learning Method

Abstract: Software Defined Networking (SDN) and Network Function Virtualization (NFV) are expected to provide greater flexibility and manageability for next-generation IoT networks. In this context, ...
IEEE

Drug Recommendation System for Precision Medicine using Graph Neural Network with Hierarchical Proximal Policy Optimization

Abstract: In recent years, precision medicine aims to enhance cancer treatment based on the molecular profile of individual tumors but identifying the most effective drug for a specific cancer type ...
Nature

Hierarchical semantic extraction and heterogeneous graph neural networks for event-driven time series forecasting

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
Nature

Learning multi-granularity skeleton representations via hierarchical graph contrastive learning

Skeleton-based action recognition offers inherent robustness to illumination variations and background interference, yet faces challenges such as heavy label reliance, topological destruction during ...