Results 151 to 160 of about 7,645,086 (295)
Knowledge Graph Embedding for Hierarchical Entities Based on Auto-Embedding Size
Knowledge graph embedding represents entities and relations as low-dimensional continuous vectors. Recently, researchers have attempted to leverage the potential semantic connections between entities with hierarchical relationships in the knowledge graph.
Pengfei Zhang +6 more
doaj +1 more source
Marie and BERT-A Knowledge Graph Embedding Based Question Answering System for Chemistry. [PDF]
Zhou X +5 more
europepmc +1 more source
This Wikipedia entry describes the Knowledge Graph as a knowledge base by Google. It enhances the search engine's results by gathering information from a variety of sources.
Wikipedia, HostingInstitution
core +1 more source
Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu +7 more
wiley +1 more source
Assessing the effects of hyperparameters on knowledge graph embedding quality. [PDF]
Lloyd O, Liu Y, R Gaunt T.
europepmc +1 more source
Learning Relational Fractals for Deep Knowledge Graph Embedding in Online Social Networks
Knowledge Graphs (KGs) have deep and impactful applications in a wide-array of information networks such as natural language processing, recommendation systems, predictive analysis, recognition, classification, etc.
Xin Wang +11 more
core +1 more source
A multimodal intravital imaging platform enables longitudinal tracking of human cortical organoids transplanted into chronic stroke lesions. By combining surgical microscopy, MRI, bioluminescence imaging, and two‐photon fluorescence microscopy, the platform captures graft placement, viability dynamics, and cellular‐scale morphology in vivo, offering a ...
Jinghui Wang +12 more
wiley +1 more source
Modulation of miR‐23b Wnt/β‐catenin Axis Strengthens Endothelial Barrier Properties
Early blood‐brain barrier (BBB) disruption contributes to stroke and CNS disease pathology. miR‐23b was identified as a regulator of BBB integrity in brain endothelial cells. Inhibition of miR‐23b enhanced barrier‐associated properties, promoted repair‐related signaling, and reduced BBB leakage in experimental stroke models, supporting further ...
Victor Anthony Martinez +16 more
wiley +1 more source
Convolutional Models with Multi-Feature Fusion for Effective Link Prediction in Knowledge Graph Embedding. [PDF]
Guo Q, Liao Y, Li Z, Lin H, Liang S.
europepmc +1 more source
NeuroSuite provides a modular hardware‐software platform integrating Neuroweb and NeuroMaps to enable long‐term, in situ electrophysiological interrogation of air–liquid interface organoid slices while preserving tissue architecture. Its components can be used together or independently to capture real‐time activity, spatial network dynamics, and ...
Belquis Haider +14 more
wiley +1 more source

