Human knowledge provides a formal understanding of the world. Knowledge graphs that
represent structural relations between entities have become an increasingly popular …

Mining valuable hidden knowledge from large-scale data relies on the support of reasoning
technology. Knowledge graphs, as a new type of knowledge representation, have gained …

The explosive growth in fake news and its erosion to democracy, justice, and public trust has
increased the demand for fake news detection and intervention. This survey reviews and …

Incorporating knowledge graph (KG) into recommender system is promising in improving the
recommendation accuracy and explainability. However, existing methods largely assume …

Knowledge graph (KG) embedding is to embed components of a KG including entities and
relations into continuous vector spaces, so as to simplify the manipulation while preserving …

Abstract Knowledge graphs contain knowledge about the world and provide a structured
representation of this knowledge. Current knowledge graphs contain only a small subset of …

arxiv:1812.00315v1 [cs.CL] 2 Dec 2018 Page 1 Fake News: A Survey of Research,
Detection Methods, and Opportunities XINYI ZHOU, Syracuse University, USA REZA …

Knowledge bases (KB), both automatically and manually constructed, are often incomplete---
many valid facts can be inferred from the KB by synthesizing existing information. A popular …

We release an open toolkit for knowledge embedding (OpenKE), which provides a unified
framework and various fundamental models to embed knowledge graphs into a continuous …

The task of entity alignment between knowledge graphs aims to find entities in two
knowledge graphs that represent the same real-world entity. Recently, embedding-based …