A review of relational machine learning for knowledge graphs
Relational machine learning studies methods for the statistical analysis of relational, or
graph-structured, data. In this paper, we provide a review of how such statistical models can …
graph-structured, data. In this paper, we provide a review of how such statistical models can …
From tabular data to knowledge graphs: A survey of semantic table interpretation tasks and methods
Tabular data often refers to data that is organized in a table with rows and columns. We
observe that this data format is widely used on the Web and within enterprise data …
observe that this data format is widely used on the Web and within enterprise data …
A survey on knowledge graph-based recommender systems
To solve the information explosion problem and enhance user experience in various online
applications, recommender systems have been developed to model users' preferences …
applications, recommender systems have been developed to model users' preferences …
DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes
DisGeNET is a comprehensive discovery platform designed to address a variety of
questions concerning the genetic underpinning of human diseases. DisGeNET contains …
questions concerning the genetic underpinning of human diseases. DisGeNET contains …
[HTML][HTML] Clinical evaluation of atlas and deep learning based automatic contouring for lung cancer
T Lustberg, J van Soest, M Gooding… - Radiotherapy and …, 2018 - Elsevier
Background and purpose Contouring of organs at risk (OARs) is an important but time
consuming part of radiotherapy treatment planning. The aim of this study was to investigate …
consuming part of radiotherapy treatment planning. The aim of this study was to investigate …
MUFFIN: multi-scale feature fusion for drug–drug interaction prediction
Motivation Adverse drug–drug interactions (DDIs) are crucial for drug research and mainly
cause morbidity and mortality. Thus, the identification of potential DDIs is essential for …
cause morbidity and mortality. Thus, the identification of potential DDIs is essential for …
PharmKG: a dedicated knowledge graph benchmark for bomedical data mining
Biomedical knowledge graphs (KGs), which can help with the understanding of complex
biological systems and pathologies, have begun to play a critical role in medical practice …
biological systems and pathologies, have begun to play a critical role in medical practice …
Linked data: Evolving the Web into a global data space
T Heath - Morgan & Claypool, 2011 - books.google.com
The World Wide Web has enabled the creation of a global information space comprising
linked documents. As the Web becomes ever more enmeshed with our daily lives, there is a …
linked documents. As the Web becomes ever more enmeshed with our daily lives, there is a …
Linked data-the story so far
8.1 The World Wide Web has radically altered the way we share knowledge, by lowering the
barrier to publishing and accessing documents as part of a global information space …
barrier to publishing and accessing documents as part of a global information space …
Recent trends in knowledge graphs: theory and practice
S Tiwari, FN Al-Aswadi, D Gaurav - Soft Computing, 2021 - Springer
With the extensive growth of data that has been joined with the thriving development of the
Internet in this century, finding or getting valuable information and knowledge from these …
Internet in this century, finding or getting valuable information and knowledge from these …