The Manila Times

Artmarket.com: Q4 and annual revenue growth; Gemini 3 Pro Deep Think audit of Artprice; The Art Market recovers with +12% turnover; AI set to dominate the Art M…

In 2025 Artprice successfully integrated all the key tools of its proprietary AI (Intuitive Artmarket®) into its internal ...
EurekAlert!

PolyU develops novel AI graph neural network models to unravel interdisciplinary complexities in image recognition and neuroscience

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
IEEE

Uncertainty-Aware Graph Neural Networks: A Multihop Evidence Fusion Approach

Abstract: Graph neural networks (GNNs) excel in graph representation learning by integrating graph structure and node features. Existing GNNs, unfortunately, fail to account for the uncertainty of ...
Microsoft

Heterogeneous Graph Neural Network on Semantic Tree

The recent past has seen an increasing interest in Heterogeneous Graph Neural Networks (HGNNs), since many real-world graphs are heterogeneous in nature, from citation graphs to email graphs. However, ...
Scientific Research Publishing

Picton, P. (1994) What Is a Neural Network? In: Picton, P., Ed., Introduction to Neural Networks, Macmillan Education, 1-12.

摘要: Machine learning (ML) has become an increasingly central component of high-energy physics (HEP), providing computational frameworks to address the growing complexity of theoretical calculations ...
Scientific Research Publishing

Wilson, R.J. (1972) Introduction to Graph Theory. 4th Edition, Oliver & Boyd.

ABSTRACT: The primary purpose of this study is to present mathematical modeling methods inspired by graph theory operations and logic as a tool to structurally analyze the socio-economic composition ...
University of Wyoming

UW and Wyoming SBDC Network to Host Patent Introduction Webinar Nov. 12

Small-business owners, entrepreneurs and startups will have the opportunity to receive an introduction to patents Wednesday, Nov. 12. Mary Fuller, U.S. Patent and Trademark Office (USPTO) regional ...
C&EN

SFTGNN: An Efficient Spherical Fourier Transform-Enhanced Graph Neural Network for High-Accuracy Crystal Property Prediction

The prediction of the properties of crystal materials has always been a core issue in materials science and solid-state physics. With the rapid development of computer simulation techniques and ...
IndustryWeek

IT OT Networks Introduction

Discover how the convergence of Information Technology (IT) and Operational Technology (OT) is revolutionizing industrial operations. This insightful video explores the critical differences between ...
Frontiers

Complex-valued brain networks for neurodegenerative disease diagnosis via component-aware feature fusion

Introduction: Recent advancements in brain network analysis have greatly improved the diagnosis of neurodegenerative diseases. However, most existing studies rely on single-frequency EEG ...
IEEE

Explainable Graph Neural Networks for Power Grid Fault Detection

Abstract: This paper proposes the application of explanation methods to enhance the interpretability of graph neural network (GNN) models in fault location for power grids. GNN models have exhibited ...