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Knowledge Graphs of Kawasaki Disease [PDF]

open access: yesHealth Information Science and Systems, 2021
AbstractKawasaki Disease is a vasculitis syndrome that is extremely harmful to children. Kawasaki Disease can cause severe symptoms of ischemic heart disease or develop into ischemic heart disease, leading to death in children. Researchers and clinicians need to analyze various knowledge and data resources to explore aspects of Kawasaki Disease ...
Guanghua Liu   +7 more
openaire   +3 more sources

RAGAT: Relation Aware Graph Attention Network for Knowledge Graph Completion

open access: yesIEEE Access, 2021
Knowledge graph completion (KGC) is the task of predicting missing links based on known triples for knowledge graphs. Several recent works suggest that Graph Neural Networks (GNN) that exploit graph structures achieve promising performance on KGC.
Xiyang Liu   +3 more
doaj   +1 more source

Tuck-KGC: based on tensor decomposition for diabetes knowledge graph completion model integrating Chinese and Western medicine [PDF]

open access: yesPeerJ Computer Science
The medical knowledge graph is essential for intelligent medical services, encompassing personalized diagnostics, precision therapies, and intelligent consultations, among others.
Jiangtao ZhangSun   +4 more
doaj   +2 more sources

Knowledge Graph Identification [PDF]

open access: yes, 2013
Large-scale information processing systems are able to extract massive collections of interrelated facts, but unfortunately transforming these candidate facts into useful knowledge is a formidable challenge. In this paper, we show how uncertain extractions about entities and their relations can be transformed into a knowledge graph.
Hui Miao   +3 more
openaire   +2 more sources

Disease ontologies for knowledge graphs [PDF]

open access: yesBMC Bioinformatics, 2021
AbstractBackgroundData integration to build a biomedical knowledge graph is a challenging task. There are multiple disease ontologies used in data sources and publications, each having its hierarchy. A common task is to map between ontologies, find disease clusters and finally build a representation of the chosen disease area.
Natalja Kurbatova, Rowan Swiers
openaire   +4 more sources

Collective knowledge graph: meta knowledge transfer and federated graph reasoning

open access: yes智能科学与技术学报, 2022
Collective knowledge graphs refer to knowledge graphs that are managed and maintained in a decentralized or distributed manner through group collaboration.Compared with the existing centrally managed knowledge graph, the collective knowledge graph has ...
Mingyang CHEN   +4 more
doaj  

Graph-Query Suggestions for Knowledge Graph Exploration [PDF]

open access: yesProceedings of The Web Conference 2020, 2020
We consider the task of exploratory search through graph queries on knowledge graphs. We propose to assist the user by expanding the query with intuitive suggestions to provide a more informative (full) query that can retrieve more detailed and relevant answers. To achieve this result, we propose a model that can bridge graph search paradigms with well-
Lissandrini, Matteo   +3 more
openaire   +6 more sources

Toward a Coronavirus Knowledge Graph [PDF]

open access: yesGenes, 2021
This study builds a coronavirus knowledge graph (KG) by merging two information sources. The first source is Analytical Graph (AG), which integrates more than 20 different public datasets related to drug discovery. The second source is CORD-19, a collection of published scientific articles related to COVID-19. We combined both chemo genomic entities in
Peng Zhang   +8 more
openaire   +3 more sources

From Books to Knowledge Graphs

open access: yesJournal of Data Mining & Digital Humanities, 2023
The digital transformation of the scientific publishing industry has led to dramatic improvements in content discoverability and information analytics. Unfortunately, these improvements have not been uniform across research areas. The scientific literature in the arts, humanities and social sciences (AHSS) still lags behind, in part due to the scale of
Kokash, Natallia   +3 more
openaire   +6 more sources

Embedding Uncertain Temporal Knowledge Graphs

open access: yesMathematics, 2023
Knowledge graph (KG) embedding for predicting missing relation facts in incomplete knowledge graphs (KGs) has been widely explored. In addition to the benchmark triple structural information such as head entities, tail entities, and the relations between
Tongxin Li   +5 more
doaj   +1 more source

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