C&EN

AGRL-DSE: Adaptive Graph Representation Learning on a Heterogeneous Graph for Drug Side Effect Prediction

School of Automation and Electrical Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China Key Laboratory of Synthetical Automation for Process Industries at ...
C&EN

GGCRB: A Graph Neural Network Approach for Predicting CircRNA–RBP Interactions Using Structural and Sequence Features

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The interaction between circular RNAs (circRNAs) and RNA-binding proteins (RBPs) plays ...
Frontiers

Graph-based analysis of histopathological images for lung cancer classification using GLCM features and enhanced graph

1 Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China 2 Faculty of Life Science and Technology, Kunming University of Science and Technology ...
Hosted on MSN

Matrix Cinemagraph - Photoshop Tutorial

Welcome to LetsPS! 🎨🖥️ Master Photoshop, Illustrator, and InDesign with step-by-step tutorials designed to help you create stunning artwork! From photo manipulations and text effects to business ...
Frontiers

Recognition of brain activities via graph-based long short-term memory-convolutional neural network

1 School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China 2 College of Medical Imaging, Jiading District Central Hospital Affiliated Shanghai ...
GitHub

[convolution] Intermediate matrix rather than list for

Convolution seems like a good target example for #270, since we’ll need a way to specify/navigate to the appropriate intermediate value for the weightedSum computation. Currently weightedSum is ...
IEEE

Multiscale Adjacency Matrix CNN: Learning on Multispectral LiDAR Point Cloud via Multiscale Local Graph Convolution

Abstract: Multispectral LiDAR can rapidly acquire 3D and spectral information of objects, providing richer features for point cloud semantic segmentation. Despite the remarkable performance of ...