Abstract: This letter introduces a novel approach for graph classification in the context of sensor network data analysis using machine learning methods. It is based on exploiting both sensor ...
Abstract: Many modern classification problems involve data that live in high-dimensional spaces but exhibit strong low-dimensional structure. Motivated by the manifold hypothesis, this talk presents a ...
PyTorch Geometric Knowledge Graph Builder is a serverless pipeline that transforms raw RDF data from multiple heterogeneous sources into enriched knowledge graphs and constructs PyTorch Geometric ...
ABSTRACT: Foot-and-Mouth Disease (FMD) remains a critical threat to global livestock industries, causing severe economic losses and trade restrictions. This paper proposes a novel application of ...
Abstract: Graph neural networks (GNNs) have demonstrated outstanding performance in graph classification tasks. Most existing GNNs designed for graph classification adopt a structure that combines ...
Graphs provide a powerful tool for coping with the non-uniformity and irregularity of 3D meshes, enabling multi-scale representations of 3D data. However, many existing methods either neglect the ...
Primary immunodeficiency disorders (PIDs) are a heterogeneous group of disorders characterized, as the name suggests, by deficiencies (abnormal, poor or absent function) in the immune system. As ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results