K-Paths is a retrieval framework that extracts structured, diverse, and biologically meaningful paths from knowledge graphs (KGs). These extracted paths enables large language models (LLMs) and graph ...

Abstract: K-means clustering is a popular unsupervised machine learning method widely used in various applications, such as data mining, image processing, and social sciences. However, clustering can ...

Canada’s new Grocery Code of Conduct officially takes effect Thursday. While the new rules are not expected to lower prices immediately, experts say consumers should eventually see more stability in ...

The K-shaped economy has returned, with gaps widening between high and low-income Americans. Higher earners see steadier opportunities, while lower-income households face cooler prospects. Some ...

There's a divide in how Americans are doing financially. NPR's Stephan Bisaha explains a tool economists are using to explain it - the letter K. STEPHAN BISAHA, BYLINE: You might think of economists ...

Abstract: We apply the innovations method to Viterbi decoding of convolutional codes. First, we calculate the covariance matrix of the innovation (i.e., the soft-decision input to the main decoder in ...