The idea of JSREPL is to join EPL with sparse representation to perform label propagation. Like most of graph-based semisupervised propagation learning algorithms, JSREPL also constructs weights graph ...

The package also includes a set of normalization functions useful for pre-processing data before the similarity computation. SimilariPy provides a suite of normalization functions for sparse matrix ...

In this article, we present an efficient intelligent model, Two-channel Graph Inference based on Global and Local Similarity Networks with Block Matrix Truncation γ-norm Minimization (TCGIBMT), aimed ...

Integration of matrix-based methods for graph manipulations enhanced with semantics - graph manipulations and clustering HOU, Jingyu, Yanchun ZHANG a Jinli CAO, 2003. Web Page Clustering: A ...

Objective To explore (1) the risk of injury according to the number of previous injuries, and (2) the risk of progression of the athletes’ health status according to the impact on athletics ...

The study of SimRank and other similarity measures in large graphs is central to understanding how structural patterns can reveal latent relationships among data entities. SimRank posits that two ...

Complementary work has focused on the statistical properties of the Wigner’s reaction matrix by simulating quantum graphs with violated time reversal symmetry. These experiments have validated ...

Since the introduction of native QR code scanning in smartphones, 2D barcodes have become the preferred method of sharing information.

Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711, United States ...