For the remaining regions their centroids are computed localizing or picking the ends of the RNPs. The template matching algorithm implemented in Gautomatch software requires as main input one or more ...

Traditional SEO relies on reactive strategies, where practitioners would study algorithms, implement changes ... keyword-centric approach favored quantity over quality and exact matching over ...

Existing works often rely on index structures that store pre-computed transitive relations to achieve efficient graph matching. In this paper, we present a family of stack-based algorithms to handle ...

In this paper, a detailed performance evaluation of synchronous and asynchronous operations in terms graph matching is provided. A synchronous and an asynchronous design of the Hoepman's algorithm, ...

A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs) in ...

The work is published in the journal IEEE Access. Subgraph matching involves identifying specific patterns (or subgraphs) within large and complex networks. However, conventional Graph Neural Networks ...