Devdiscourse

ILO, UNICEF and Oman Deliver GCC’s First Training on Social Protection M&E

Robust monitoring and evaluation give policymakers the clarity they need to refine programmes and measure real impact,” said ...
EurekAlert!

Metallic glass discovery using AI-guided graph learning from Wikipedia data

A research team from the Songshan Lake Materials Laboratory has developed an AI-guided "Recommendation System" to discover ...
GitHub

[KDD 2025] ATOM: A Framework of Detecting Query-Based Model Extraction Attacks for Graph Neural Networks

Graph Neural Networks (GNNs) have gained traction in Graph-based Machine Learning as a Service (GMLaaS) platforms, yet they remain vulnerable to graph-based model extraction attacks (MEAs), where ...
IEEE

Graph-Enhanced Multi-Scale Contrastive Learning for Graph Anomaly Detection with Adaptive Diffusion Models

Abstract: Graph anomaly detection has gained significant research interest across various domains. Due to the lack of labeled data, contrastive learning has been applied in detecting anomalies and ...
Scientific Research Publishing

Ducrot, S. and Grainger, J. (2025) The Development of Letter Representations in Preschool Children Is Affected by Visuomotor Integration Skills and Visual Field Asymmetries ...

ABSTRACT: Objective: To survey the prevalence and main influencing factors of vision for preschool children aged 5 to 6 years in Linhai City, in order to provide a scientific basis for developing ...
IEEE

Graph Representation Framework for Accelerating Atomic-Level Semiconductor Device Simulation

Abstract: This article proposes a machine-learning (ML) method to accelerate atomic-level device simulation. The main idea is to utilize graph convolutional network (GCN) to predict the potential ...