Results 91 to 100 of about 35,565 (288)

Effects of Negative Sampling on Knowledge Graph Completion

, 2020
Knowledge graph embedding concepts have become popular in recent years. The most common usage area of this concept is knowledge graph completion because ordinarily, knowledge graphs consist of a large amount of structured data, but they are not complete.
Betul Bayrak, BAYRAK, BETÜL
core   +1 more source

Tensors and tensor decompositions for combining external information with knowledge graph embeddings [PDF]

, 2021
The task of knowledge graph (KG) completion, where one is given an incomplete KG as a list of facts, and is asked to give high scores to correct but unseen triples, has been a well-studied problem in the NLP community. A simple but surprisingly robust
Balkır, Esma
core   +1 more source

Diffusion Spectrum Imaging Maps Early Axonal Loss and a Unique Progressive Signal in Neuronal Intranuclear Inclusion Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang, Yixiu Pei, Xiaobao Hu, Ying Xiong, Fang Wang, Yanyan Yu, Min Zhu, Dandan Tan, Meihong Zhou, Daojun Hong, Fuqing Zhou   +10 more
wiley   +1 more source

Knowledge Enhanced Graph Neural Networks for Graph Completion

, 2023
International audienceGraph data is omnipresent and has a wide variety of applications, such as in natural science, social networks, or the semantic web. However, while being rich in information, graphs are often noisy and incomplete. As a result, graph
Chlyah, Sarah, Genevès, Pierre, Werner, Luisa, Layaïda, Nabil   +3 more
core   +2 more sources

TuckER: Tensor Factorization for Knowledge Graph Completion [PDF]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019
Knowledge graphs are structured representations of real world facts. However, they typically contain only a small subset of all possible facts. Link prediction is a task of inferring missing facts based on existing ones. We propose TuckER, a relatively straightforward but powerful linear model based on Tucker decomposition of the binary tensor ...
Ivana Balazevic, Carl Allen, Timothy M. Hospedales   +2 more
openaire   +2 more sources

A Depolarizing Leak in Sodium Bicarbonate Cotransporter NBCe1 Causes Brain Edema

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives SLC4A4 encodes electrogenic sodium bicarbonate cotransporter NBCe1, prominently expressed in kidney and brain. Recessive loss‐of‐function variants in SLC4A4 cause proximal renal tubular acidosis, no brain edema. In the brain, NBCe1 is expressed by astrocytes, where it regulates pH and mediates astrocyte volume changes.
Quinty Bisseling, Mark D. Parker, Sven Kerst, Richard A. Pasternack, Jacob Tondreau, Marjolein Breur, Gemma M. van Rooijen‐van Leeuwen, Davide Tonduti, Ettore Salsano, Alejandra Darling, Joanna A. E. van Wijk, Susanna Törnroth‐Horsefield, Marianna Bugiani, Petra J. W. Pouwels, Quinten Waisfisz, Marjo S. van der Knaap, Rogier Min   +16 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

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, Michele K. York, Roseanne Dobkin, Anuprita R. Nair, Ryan Kurth, David‐Erick Lafontant, Chelsea Caspell‐Garcia, Roy N. Alcalay, Ethan G. Brown, Lana M. Chahine, Christopher Coffey, Tatiana Foroud, Douglas Galasko, Karl Kieburtz, Kenneth Marek, Kalpana Merchant, Brit Mollenhauer, Kathleen L. Poston, Andrew Siderowf, Cristina Simonet, Tanya Simuni, Caroline M. Tanner, Thomas F. Tropea, Aleksandar Videnovic, The Parkinson's Progression Markers Initiative   +24 more
wiley   +1 more source

DFedKG: Diffusion-Based Federated Knowledge Graph Completion

Data Science and Engineering
In recent years, the task of knowledge graph completion has attracted significant attention from researchers. In practical scenarios, multi-source knowledge graph completion is quite common.
Chao Zhao, Yurong Cheng, Boyang Li, Yi Yang, Xue Wang   +4 more
doaj   +1 more source

Triple Classification for Scholarly Knowledge Graph Completion

, 2021
structured information representing knowledge encoded in scientific publications. With the sheer volume of published scientific literature comprising a plethora of inhomogeneous entities and relations to describe scientific concepts, these KGs are ...
Jaradeh, Mohamad Yaser, Singh, Kuldeep, Stocker, Markus, Auer, Sören   +3 more
core   +1 more source