Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...

Abstract: At present, fractal graphs are mainly drawn by iterative function system. This paper presents a general method of drawing fractal graphs by dynamic system. As long as the dynamic system ...

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, ...

Objective: We aimed to compare the effects of different tightening schemes in thread-drawing therapy on the recovery of anal function in patients with high simple anal fistulas after treatment.

What if you could transform vast amounts of unstructured text into a living, breathing map of knowledge—one that not only organizes information but reveals hidden connections you never knew existed?

We compare two methods to elicit graphs from people that represent the causal structure of common artifacts. One method asks participants to focus narrowly on local causal relations and is based on ...

In this first interview of a two-part series, Andreas Kolleger explores the convergence of knowledge graphs and large language models. As the head of GenAI innovation at Neo4j, Andreas brings a unique ...

David Nield is a technology journalist from Manchester in the U.K. who has been writing about gadgets and apps for more than 20 years. He has a bachelor's degree in English Literature from Durham ...

Abstract: Clustered graph drawing is widely considered as a good method to overcome the scalability problem when visualizing large (or huge) graphs. Force-directed algorithm is a popular approach for ...