Abstract: Graph-guided semi-supervised learning (SSL) has gained popularity in several network science applications, including biological, social, and financial ones. SSL becomes particularly ...

Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that ...

Join a group of British cab drivers as they experience authentic Korean cuisine for the very first time, sampling Jokbal—succulent braised pig’s trotters—paired with classic side dishes like kimchi ...

Introduction: Obstetric referrals remain a public health challenge. Objective: To evaluate the prevalence of obstetric referrals in the DASSA-Glazoué health district. M ...

Know how AI algorithms identify wash trading and artificial volume on Web3 exchanges. Learn about machine learning techniques like graph analysis and behavioral clustering that detect market ...

End-to-End Hardware-Driven Graph Preprocessing for Enhanced GNN Performance” was published by researchers at KAIST, Panmnesia, Peking University, Hanyang University, and Pennsylvania State University.

The airborne results expand and refine the conductive footprint previously reported at Black Pearl, including a dominant ...

Abstract: A community-imbalanced graph refers to a graph containing multiple communities with large differences in node and edge scales. Graph sampling is a widely used graph reduction technique to ...

Low modularity networks (Q < 0.2) challenge classical community detection algorithms, which get trapped in local optima. We introduce quantum inspired community detection algorithms leveraging non ...

One year after stocking the lake, we return to carry out netting and assess the fish population's development. This video presents the full process of sampling the lake, measuring fish growth rates, ...

ABSTRACT: Federated learning is a classic of privacy-preserving learning, which enables collaborative learning without sharing data. Structured data has become the mainstream of current applications, ...