Results 211 to 220 of about 30,563 (303)
Credibility-based knowledge graph embedding for identifying social brand advocates. [PDF]
Abu-Salih B +4 more
europepmc +1 more source
A Literature-Based Knowledge Graph Embedding Method for Identifying Drug Repurposing Opportunities in Rare Diseases. [PDF]
Sosa DN +5 more
europepmc +1 more source
A federated compositional knowledge graph embedding for communication efficiency
A federated compositional knowledge graph embedding for communication ...
Yao Zhao (317881) +5 more
core
We developed the ASCAL pipeline, integrating complementary spatial transcriptomics, to construct a high‐fidelity mouse whole‐eye single‐cell atlas. Applying ASCAL to a retinal artery occlusion (RAO) model revealed spatially restricted immune activation localized to the ganglion cell layer and the selective depletion of a translationally active, outer ...
Chen Du +11 more
wiley +1 more source
Identifying compound-protein interactions with knowledge graph embedding of perturbation transcriptomics. [PDF]
Ni S +19 more
europepmc +1 more source
Rare‐earth catalysts regulate lithium–sulfur battery chemistry through f‐orbital–mediated interactions, enabling simultaneous polysulfide adsorption and catalytic conversion on conductive carbon hosts. This synergistic control suppresses the shuttle effect, accelerates redox kinetics, and guides stable Li2S nucleation, providing a mechanistic framework
Fan Wang +5 more
wiley +1 more source
Drug-target interaction prediction using knowledge graph embedding. [PDF]
Li N, Yang Z, Wang J, Lin H.
europepmc +1 more source
stMixer for Scalable Mosaic Integration and Label Transfer in Spatial Histology and Multi‐Omics
stMixer is an unsupervised framework for scalable integration and label transfer across spatial histology and multi‐slide multi‐omics data with incomplete modality overlap. It combines self‐looped cross‐attention, multimodal metric learning, and graph‐guided cluster voting to align heterogeneous sections, correct batch effects, and propagate ...
Qixing Yang +3 more
wiley +1 more source
This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu +6 more
wiley +1 more source
OntoKGE: A Framework for Injecting Ontology Rules into Knowledge Graph Embedding Training
Link prediction is a key task in knowledge graphs that involves inferring new links between entities based on existing ones. Knowledge graph embedding models address this task by representing entities and relations as points in a geometric space and ...
Genevès, Pierre +2 more
core +1 more source

