To address this problem, this paper proposes a novel community detection algorithm based on node propagation ... methods based on their relationships with neighboring nodes, using the attraction among ...

Photo Credit: Reddit Photo Credit: Reddit They showed how the humble toilet paper roll is the perfect protective sleeve ... said one response. "I'm gonna have to use that one." "I thought I was the ...

Carroll Community Choir Director Rosemary Cameron says she hopes the audience for the choir’s “Worthy Is the Lamb” Easter cantata has a “calming, enjoyable and soul-stirring experience.” The cantata ...

“I feel like this Multicultural Round will definitely show how diverse our community is, and especially here at the Bulldogs,” he said. As well as historic Middle Eastern and Mediterranean ...

Abstract: Graph Neural Networks (GNNs) have recently achieved remarkable success in various learning tasks involving graph-structured data. However, their application to multi-relational graph anomaly ...

Introduction: Detecting water contamination in community housing is crucial for protecting public health. Early detection enables ... attention mechanisms of the Graph Attention Network (GAT), was ...

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 ...

It produces a graph-based output of all detected components across a variety of package ecosystems. Component Detection can also be used as a library to detect dependencies in your own applications.