GitHub

Survey of Graph Neural Network Models On DergiPark Scientific Article Dataset

Graph Convolutional Network (GCN), GraphSAGE, and Graph Attention Network (GAT) models are used in node classification and node clustering tasks. Variational graph autoencoder (VGAE) model is used in ...
IEEE

Enhancing Data Visualization Interpretation through Fine-Tuned VLMs: A Comparative Analysis

Abstract: The interpretation of data visualizations, such as charts, plots, graphs, and other graphical representations, is a crucial component of data-driven decision-making across domains such as ...
eLife

Contractile peri-nuclear actomyosin network repositions peripheral and polar chromosomes to promote early kinetochore–microtubule interactions

This important study demonstrates that a peri-nuclear actomyosin network, present in some types of human cells, facilitates kinetochore-spindle attachment of chromosomes in unfavorable locations - ...
eLife

Temporal dynamics of peri-microsaccadic modulations within the foveola

Stearns and Poletti present a technically impressive study that aims to uncover a deeper understanding of microsaccade function: their role in perceptual modulation and the associated temporal ...
GitHub

Estimating and inferring a directed acyclic graph from summary statistics

R Zilinskas, C Li, X Shen, W Pan, T Yang (2023). Inferring a Directed Acyclic Graph of Phenotypes from GWAS Summary Statistics. bioRxiv. Under review. The directory ./sumdag contains the R package ...