IEEE

Multigranularity Deep Graph Convolutional Neural Network Node Clustering Leveraging Spatial Information

Abstract: In the era of information explosion, clustering analysis of graph-structured data and empty graph-structured data is of great significance for extracting the intrinsic value of data. From ...
GitHub

PHP HTTP Request Handler for Node.js

With @platformatic/php-node you can run PHP applications within the same process as a Node.js application, allowing for communication between Node.js and PHP without any network connection in the ...
Frontiers

ATOMIC: a graph attention network for atopic dermatitis prediction using human gut microbiome

Introduction: Atopic dermatitis (AD) is a chronic inflammatory skin disease driven by complex interactions among genetic, environmental, and microbial factors; however, its etiology remains unclear.
IEEE

Automatic Design of Deep Graph Neural Networks With Decoupled Mode

Abstract: Graph neural networks (GNNs), a class of deep learning models designed for performing information interaction on non-Euclidean graph data, have been successfully applied to node ...
GitHub

pyiron_workflow

pyiron_workflow is a framework for constructing workflows as computational graphs from simple python functions. Its objective is to make it as easy as possible to create reliable, reusable, and ...