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 ...
Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...
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 ...
Lloyd’s Register (LR) and Latsco have successfully completed a proof-of-concept for a new standard in digital class assurance with data-driven surveys. This collaboration aims to demonstrate how ...
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 ...
Abstract: Graph classification is essential for understanding complex biological systems, where molecular structures and interactions are naturally represented as graphs. Traditional graph neural ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results