Every developer should be paying attention to the local-first architecture movement and what it means for JavaScript. Here’s ...
A Unified Framework for Community Detection Using Quasi-Attention on Attributed Heterogeneous Graphs
Community detection on complex networks utilizes topological properties to identify communities and has been an active research area over the last two decades. Many techniques have evolved to ...
We introduce DRESS, a deterministic, parameter-free framework that iteratively refines the structural similarity of edges in a graph to produce a canonical fingerprint: a real-valued edge vector, ...
Abstract: The graph neural networks (GNNs) have drawn much attention for predicting the remaining useful life (RUL) due to their excellent performance in processing correlation relationship among data ...
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