Abstract: Objective: Graph-based methods using resting-state functional magnetic resonance imaging demonstrate strong capabilities in modeling brain networks. However, existing graph-based methods ...
The presentation will introduce the DACM (Dimensional Analysis Conceptual Modeling) approach as a way to represent an engineering problem in the form of oriented colored graphs. The foundations of the ...
This project implements a Regression Dynamic Graph-Based CNN Model (RegDGCNN) to predict the pressure distribution over 3D geometries using Point Cloud Data. Data combines the mesh details with the ...
This is a preview. Log in through your library . Abstract Researchers in comparative research increasingly use multilevel models to test effects of country-level factors on individual behavior and ...
Abstract: Scene graph generation (SGG) plays an important role in the intelligence of social things (IoST) framework by extracting structured semantic representations from social device data, thereby ...
Multiple imputation (MI) can be used to address missing data at Level 2 in multilevel research. In this article, we compare joint modeling (JM) and the fully conditional specification (FCS) of MI as ...
This repository contains the PyTorch implementation of [BEAST: A Graph-based Transformer Framework for Generalizable Nanopore Signal Modeling under Data Scarcity] Jiayao Hu, Jintao Zhu, Xuyang Zhao, ...
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