Results 171 to 180 of about 30,563 (303)

Benchmarking whole knowledge graph embedding techniques [PDF]

open access: yes
Knowledge Graphs (KGs) are gaining popularity and are being widely used in a plethora of applications. They owe their popularity to the fact that KGs are an ideal form to integrate and retrieve data originating from various sources.
Ongenae, Femke   +4 more
core   +1 more source

Multi‐Omics Profiling Reveals Immunomodulatory and Pro‐Regenerative Effects of a Graphene Oxide–Collagen Scaffold in Massive Rotator Cuff Tears

open access: yesAdvanced Science, EarlyView.
A graphene oxide/collagen scaffold is developed for chronic massive rotator cuff tear repair. The scaffold improves compressive stability, supports reparative mesenchymal differentiation, and modulates the immune microenvironment. In chronic MRCT models, it reduces muscle degeneration, enhances tendon–bone regeneration, and improves functional recovery,
Renwen Wan   +24 more
wiley   +1 more source

Music recommendation algorithms based on knowledge graph and multi-task feature learning

open access: yesScientific Reports
During music recommendation scenarios, sparsity and cold start problems are inevitable. Auxiliary information has been utilized in music recommendation algorithms to provide users with more accurate music recommendation results.
Xinqiao Liu   +2 more
doaj   +1 more source

Understanding Impact of Graph Structure on Knowledge Graph Embedding

open access: yes
The effectiveness of a deployed knowledge graph is commonly evaluated with defined use-cases from domain experts. This poses challenges during the development cycle in determining how to represent data.
Dave, Brandon
core  

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

Multimodal reasoning based on knowledge graph embedding for specific diseases. [PDF]

open access: yesBioinformatics, 2022
Zhu C   +5 more
europepmc   +1 more source

Investigating the logical inference capabilities of Knowledge Graph Embedding Models [PDF]

open access: yes, 2019
A knowledge graph represents factual information in the form of graphs, where nodes repre- sent real-world entities such as people, places and movies, and edges represent the relation- ships between these entities.
Choudhary, Chirag
core  

Engineering an Optogenetic pH‐Modulator in Bacteria

open access: yesAdvanced Science, EarlyView.
ABSTRACT Cells in many naturally occurring organisms routinely cooperate to control their extracellular pH in a dynamic and reversible manner, but this capability has been underexplored in synthetic biology. Here, we sought to engineer a microbial system that switches between two states —high and low extracellular pH— with minimal human intervention ...
Jenevieve Kuang   +7 more
wiley   +1 more source

Enhancing drug-drug interaction prediction by three-way decision and knowledge graph embedding. [PDF]

open access: yesGranul Comput, 2023
Hao X   +7 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy