Evidence-based Directed Acyclic Graphs (DAGs) are effective tools to comprehensively visualize complex causal and biasing pathways in pharmacoepidemiologic research in rheumatology. This paper ...

Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...

The art of finding patterns or communities plays a central role in the analysis of structured data such as networks. Community detection in graphs has become a field on its own. Real-world networks, ...

Dagre is a JavaScript library that makes it easy to lay out directed graphs on the client-side. For more details, including examples and configuration options, please ...

Using drone imagery, New Zealand researchers are evaluating a deep learning model called BirdDetector, as it analyzes Salvin’s albatross populations across the Bounty Islands. After testing the model ...

The current altcoin bear market has lasted over 1,200 days, surpassing all previous cycles in duration and severity. Despite Bitcoin hitting new highs, altcoins remain suppressed, with total market ...

Directed graphs and their afferent/efferent capacities are produced by Markov modeling of the universal cover of undirected graphs simultaneously with the calculation of volume entropy. Using these ...

Abstract: Ponzi schemes remain a significant challenge to financial security, particularly on blockchain platforms such as Ethereum, where the autonomy of smart contracts facilitates fraudulent ...

Positive predictive value was higher with MELD Graph compared with existing baseline algorithm. HealthDay News — A graph neural network using data from the Multicenter Epilepsy Lesion Detection (MELD) ...