In this article, we provide a comprehensive introduction to knowledge graphs, which have
recently garnered significant attention from both industry and academia in scenarios that …

Industrial Internet of Things (IIoT) systems connect a plethora of smart devices, such as
sensors, actuators, and controllers, to enable efficient industrial productions in manners …

Equipping machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …

Most of todays work on knowledge graph completion is concerned with sub-symbolic
approaches that focus on the concept of embedding a given graph in a low dimensional …

As a powerful expression of human knowledge in a structural form, knowledge graph (KG)
has drawn great attention from both the academia and the industry and a large number of …

The knowledge graph (KG) that represents structural relations among entities has become
an increasingly important research field for knowledge-driven artificial intelligence. In this …

Knowledge Graph (KG) errors introduce non-negligible noise, severely affecting KG-related
downstream tasks. Detecting errors in KGs is challenging since the patterns of errors are …

Abstract Rules over a Knowledge Graph (KG) capture interpretable patterns in data and
various methods for rule learning have been proposed. Since KGs are inherently …

Abstract Representation learning on a knowledge graph (KG) is to embed entities and
relations of a KG into low-dimensional continuous vector spaces. Early KG embedding …

Abstract Knowledge graph completion is the task of predicting correct facts that can be
expressed by the vocabulary of a given knowledge graph, which are not explicitly stated in …