C&EN

Prediction of the Association between Transfer RNA and Diseases: A Deep Learning Approach Combining Multi-View Graph Convolution and Attention Mechanisms

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator.
Frontiers

Association prediction of lncRNAs and diseases using multiview graph convolution neural network

Long noncoding RNAs (lncRNAs) regulate physiological processes via interactions with macromolecules such as miRNAs, proteins, and genes, forming disease-associated regulatory networks. However, ...
IEEE

A Heterogeneous Graph Convolution Based Method for Short-Term OD Flow Completion and Prediction in a Metro System

Abstract: Short-term OD flow (i.e. the number of passenger traveling between stations) prediction is crucial to traffic management in metro systems. The delayed effect in latest complete OD flow ...
The Windows Club

How to switch between Graphical and Text-based Multiboot Menu in Windows 11

Well, many users are aware of the Graphical and Text-based Multiboot Menu in Windows 11/10 but don’t know the difference between the two. The major difference between the two lies primarily in their ...
Frontiers

Dual-channel deep graph convolutional neural networks

The dual-channel graph convolutional neural networks based on hybrid features jointly model the different features of networks, so that the features can learn each other and improve the performance of ...
IEEE

Contrastive Graph Convolution Network With Skip Connections for Few-Shot Hyperspectral Image Classification

Abstract: Graph convolution networks (GCNs) have achieved impressive results for few-shot hyperspectral image (HSI) classification. However, current methods focus on migrating labels from support ...