Results 71 to 80 of about 353,222 (280)
Hamming Distance Encoding Multihop Relation Knowledge Graph Completion
Knowledge graphs (KGs) play an important role in many real-world applications like information retrieval, question answering, relation extraction, etc. To reveal implicit knowledge from a knowledge graph (KG), viz.
Panfeng Chen +4 more
doaj +1 more source
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion
Knowledge graph embedding has been an active research topic for knowledge base completion, with progressive improvement from the initial TransE, TransH, DistMult et al to the current state-of-the-art ConvE.
Bi, Jinbo +5 more
core +1 more source
Hyperbolic Knowledge Graph Embeddings for Knowledge Base Completion [PDF]
Learning embeddings of entities and relations existing in knowledge bases allows the discovery of hidden patterns in them. In this work, we examine the contribution of geometrical space to the task of knowledge base completion. We focus on the family of translational models, whose performance has been lagging.
Kolyvakis, Prodromos +2 more
openaire +1 more source
Temporal Knowledge Graph Completion: A Survey
Knowledge graph completion (KGC) predicts missing links and is crucial for real-life knowledge graphs, which widely suffer from incompleteness. KGC methods assume a knowledge graph is static, but that may lead to inaccurate prediction results because many facts in the knowledge graphs change over time.
Cai, Borui +5 more
openaire +2 more sources
Functional Connectivity Linked to Cognitive Recovery After Minor Stroke
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri +7 more
wiley +1 more source
Federated Learning FedLTailor: A Dynamic Weight Adjustment and Personalized Fusion Approach
In this study, we primarily address the issue of uneven quality of client embeddings in existing federated learning frameworks for knowledge graph completion.
Hong Zheng, Shanqin Li
doaj +1 more source
On Minimizing the Completion Times of Long Flows over Inter-Datacenter WAN
Long flows contribute huge volumes of traffic over inter-datacenter WAN. The Flow Completion Time (FCT) is a vital network performance metric that affects the running time of distributed applications and the users' quality of experience.
Noormohammadpour, Mohammad +2 more
core +2 more sources
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 +10 more
wiley +1 more source
A Depolarizing Leak in Sodium Bicarbonate Cotransporter NBCe1 Causes Brain Edema
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 +16 more
wiley +1 more source
Knowledge Graph Completion Based on Logical Rules and Graph Neural Network [PDF]
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

