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 ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...

All fields interested in genetics have roots in studying resemblance among relatives, making efficient handling of large-scale pedigree data critical (Sham, 1996; Polubriaginof et al., 2018). Manually ...

This section of Matrix: Path of Neo guide provides a detailed overview of essential gameplay mechanics and strategic elements. You will find an in-depth explanation of the HUD layout, covering weapon ...

In this tutorial, we explore how to leverage the PyBEL ecosystem to construct and analyze rich biological knowledge graphs directly within Google Colab. We begin by installing all necessary packages, ...

Generative A.I. chatbots are going down conspiratorial rabbit holes and endorsing wild, mystical belief systems. For some people, conversations with the technology can deeply distort reality. By ...

Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...

ABSTRACT: Graph burning is a model for describing the spread of influence in social networks and the generalized burning number b r ( G ) of graph G is a parameter to measure the speed of information ...

1 Department of Science and Humanities, Vins Christian College of Engineering, Nagercoil, India. 2 Department of Mathematics, Holy Cross College, Nagercoil, India. 3 Research Centre, Department of ...