Christopher Towler’s recent 2024 Black Voter Project disputes narratives that emerged after the election and presents a ...
We investigated the performance of the US stock market and factors on, and around, GDP release events. Read more here.
A 1,000-person study using Heartflow Inc. technology demonstrated that findings of coronary plaque on heart CT scans could indicate which patients were at risk of cardiovascular events up to seven ...
What can we expect from GRT price analysis next? The Graph price analysis gives a bullish prediction of the ongoing market events. The coin’s value rose to $0.131 over the last 24 hours. Side by side, ...
Research using the University College London (UCL) COVID-19 Social Study found people also widely feel happier in the summertime than they do during the winter months. Using survey data from ...
The purpose of this study was to report on the “Tree Hole Action,” which uses knowledge graph technology to identify and classify ... and was rated as the impact event of Sina Weibo in 2019. It has ...
Owing to the strength in learning representation of the high-order connectivity of graph neural networks (GNN), GNN-based collaborative filtering has been widely adopted in recommender systems.
Design A graph neural network was developed incorporating pathologist ... but require incorporation of pathologist domain knowledge and explainability. This study presents the first AI algorithm for ...
Background Adverse event surveillance approaches underestimate the prevalence of harmful diagnostic errors (DEs) related to hospital care. Methods We conducted a single-centre, retrospective cohort ...
It benefits task planning and process scheduling for event-centric systems including enterprise systems, IoT systems, etc. Sequence-based and graph-based learning models have been applied to this task ...
A modelling study was led by researchers from the Environment & Health Modelling (EHM) Lab at the London School of Hygiene & Tropical Medicine (LSHTM) and published in Nature Medicine. “ ...
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