According to mathematical legend, Peter Sarnak and Noga Alon made a bet about optimal graphs in the late 1980s. They’ve now ...

The path is calculated based on a weighted directed graph (dataflow execution model) with a modified Dijkstra algorithm. schedula makes the code easy to debug, to optimize, and to present it to a ...

To address these limitations, we introduce Directed Graph Neural Networks for Anomaly Detection of Smart Ponzi Schemes (DGAD-SPS), a novel approach that leverages directed graph analysis to detect ...

To address these problems, we propose a self-weighted multi-view fuzzy clustering algorithm that incorporates multiple graph learning. Specifically, we automatically allocate weights corresponding to ...

Department of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States Department of Mathematics, Michigan State University, East Lansing, Michigan 48824, United States ...

Analyzing Facebook ego networks to identify influential users and communities for optimizing political advertising. Leverages network science techniques (Louvain communities, centrality metrics, ...

Background: With the rapid advancement of gene sequencing technologies, Traditional weighted gene co-expression network ... based on the correlation between pairs of genes, using an adjacency matrix ...

Directed acyclic graphs are commonly used to illustrate and assess the hypothesised causal mechanisms in health and social research. These graphs can illuminate investigators’ assumptions and help ...

Difference between adjacency ... was a 29×91 matrix, which represents the connection weights extending from each injection site to other regions of the brain. Here, we focused on the subset of this ...