Discover how formal logic is essential in programming and algorithm development, ensuring precision and correctness in computer science.

Graph clustering is a popular method to understand networks and make them accessible for downstream Machine Learning tasks. Especially for large networks, the results of graph clustering are difficult ...

Learn how logic programming can help you automate complex tasks in AI by using rules, facts, and queries to express and solve problems.

In this case,this is not pure functional programming, but mix of functional and OOP because of implementation of a graph, but coloring algorithm uses main properties of functional paradigm. For this ...

Coloring Graphs with Logic Programming. Contribute to szczepaf/Prolog-Graph-Coloring development by creating an account on GitHub.

Logic programming is a paradigm where computation arises from proof search in a logic according to a fixed, predictable strategy. It thereby unifies logical specification and implementation in a way ...

Keywords: relation learning, relation prediction, information extraction, knowledge graphs, inductive logic programming Citation: Mao J, Yao Y, Heinrich S, Hinz T, Weber C, Wermter S, Liu Z and Sun M ...

Especially for large networks, the results of graph clustering are difficult to explain, since visualizations can be chaotic and the metric used for clustering can be noninterpretable. We propose a ...