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A Survey on Graph Neural Networks for Knowledge Graph Completion

CoRR, 2020
Knowledge Graphs are increasingly becoming popular for a variety of downstream tasks like Question Answering and Information Retrieval. However, the Knowledge Graphs are often incomplete, thus leading to poor performance. As a result, there has been a lot of interest in the task of Knowledge Base Completion.
openaire +2 more sources

Prodromal Lewy Body Disorder Features in REM Sleep Behavior Disorder With Biomarker‐Defined Synucleinopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Isolated rapid eye movement sleep behavior disorder (iRBD) is a prodromal state for Lewy body disorders and exhibits biological heterogeneity that may influence clinical expression and progression. We examined clinical features in individuals with iRBD and biomarker‐defined synucleinopathy.
Daniel Weintraub +24 more
wiley +1 more source

Knowledge Graph Completion Based on Logical Rules and Graph Neural Network [PDF]

Jisuanji gongcheng
Knowledge Graph Completion(KGC) aims to utilize the existing knowledge in a Knowledge Graph(KG) to derive new facts. This process is pivotal in several tasks and domains and has garnered increasing attention from researchers.
LIU Chunyu, CHEN Qingfeng, MO Shaocong, XIE Ze
doaj +1 more source

Neurologic Manifestations of Long COVID Affect Adult Females More Severely Than Males

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To characterize differences in neurologic manifestations of postacute sequelae of SARS‐CoV‐2 infection (Neuro‐PASC) between females and males. Methods Cross‐sectional study of the first consecutive 261 posthospitalization Neuro‐PASC (PNP) and 2068 nonhospitalized Neuro‐PASC (NNP) patients evaluated at the Neuro‐COVID clinic between ...
Hannah Kopinsky +5 more
wiley +1 more source

Enhancing Knowledge Graph Completion By Embedding Correlations

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Despite their large sizes, modern Knowledge Graphs (KGs) are still highly incomplete. Statistical relational learning methods can detect missing links by "embedding" the nodes and relations into latent feature tensors. Unfortunately, these methods are unable to learn good embeddings if the nodes are not well-connected.
Soumajit Pal, Jacopo Urbani
openaire +2 more sources

Diachronic Embedding for Temporal Knowledge Graph Completion

Proceedings of the AAAI Conference on Artificial Intelligence, 2020
Knowledge graphs (KGs) typically contain temporal facts indicating relationships among entities at different times. Due to their incompleteness, several approaches have been proposed to infer new facts for a KG based on the existing ones–a problem known as KG completion.
Rishab Goel +3 more
openaire +3 more sources

Evaluating a Pragmatic Strength Alternative for Frailty Measurement and Assessing Its Predictive Capacity Against Established Frailty Instruments in Rheumatoid Arthritis

Arthritis Care &Research, EarlyView.
Objective Frailty occurs prematurely in rheumatoid arthritis (RA) and is associated with poor health outcomes. We compared the performance of four frailty instruments, including a pragmatic alternative measure using chair sit‐to‐stand (STS), and evaluated their abilities to predict poor health outcomes.
Kylie E. Riggles +14 more
wiley +1 more source

Cumulative Social Disadvantage and Disease Activity in Juvenile Idiopathic Arthritis: A Childhood Arthritis and Rheumatology Research Alliance Registry Study

Arthritis Care &Research, EarlyView.
Objective Social determinants of health (SDOH) contribute to juvenile idiopathic arthritis (JIA) disparities, but most studies have assessed SDOH independently rather than cumulatively across individual, family, and neighborhood levels. Using a socioecological framework, we investigated the relationship among cumulative social disadvantage ...
William Daniel Soulsby +448 more
wiley +1 more source

A Return to Normality: A Descriptive Qualitative Interview Study Exploring the Patient Experience of Gout Flare Resolution

Arthritis Care &Research, EarlyView.
Objective Although the definition of a gout flare is well established, the state of gout flare resolution has not yet been defined. This study aimed to explore patients’ experiences and perceptions of gout flare resolution. Methods Semistructured interviews were conducted with 24 people with gout, guided by open‐ended questions exploring their ...
Sarah Stewart +5 more
wiley +1 more source

Graph2Seq: Fusion Embedding Learning for Knowledge Graph Completion

IEEE Access, 2019
Knowledge Graph (KG) usually contains billions of facts about the real world, where a fact is represented as a triplet in the form of (head entity, relation, tail entity).
Weidong Li +4 more
doaj +1 more source

fos: computer and information sciences
computer science - artificial intelligence
artificial intelligence cs.ai

knowledge graph
machine learning cs.lg
computer science - machine learning

knowledge graph embedding
computer science - computation and language
computation and language cs.cl