Financial-services teams sit on oceans of prices, identifiers, and transaction attributes, yet the data that keeps their ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Objective To investigate the comparative effectiveness of all treatments for patellofemoral pain (PFP). Design Living systematic review with network meta-analysis (NMA). Data sources Sensitive search ...

Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network Recent advance in single-cell RNA sequencing (scRNA-seq) has enabled large-scale ...

In this paper, we propose a Multilevel Graph Matching Network (MGMN) framework for computing the graph similarity between any pair of graph-structured objects in an end-to-end fashion. MGMN consists ...

Topology-Aware Graph Neural Network-Based State Estimation for PMU-Unobservable Power Systems Abstract: Traditional optimization-based techniques for time-synchronized state estimation (SE) often ...

A new study published in Nature Neuroscience sheds light on the structural foundations of the brain’s default mode network, a system of regions long associated with internally focused thought, memory, ...

The quantitative R 2 * and ΔR 2 * maps were mapped in the twelve native laminar mesh surfaces using the Workbench command ‘-volume-to-surface-mapping’ using a ribbon-constrained algorithm. MSMSulc ...