Results 221 to 230 of about 1,576,182 (334)
Learning temporal granularity with quadruplet networks for temporal knowledge graph completion. [PDF]
Geng R, Luo C.
europepmc +1 more source
Type-Constrained Representation Learning in Knowledge Graphs
Denis Krompaß+2 more
openalex +2 more sources
Enhancing Knowledge Graph Completion By Embedding Correlations [PDF]
Soumajit Pal, Jacopo Urbani
openalex +1 more source
Rod‐shaped particles outperform spherical particles of the same volume in preventing neutrophil infiltration to inflamed areas, both in vitro and in vivo. This therapeutic effectiveness is attributed to better cell targeting and decreased cell motility, resulting from the geometry‐driven phagocytosis and inhibited actin polymerization.
M. Valentina Guevara+7 more
wiley +1 more source
A knowledge graph for crop diseases and pests in China. [PDF]
Yan R+6 more
europepmc +1 more source
The First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR) [PDF]
Laura Dietz, Chenyan Xiong, Edgar Meij
openalex +1 more source
Computational Simulations of Metal–Organic Frameworks to Enhance Adsorption Applications
This review highlights the significance of molecular simulations in expanding the understanding of metal–organic frameworks (MOFs) and improving their gas adsorption applications. The historical development and implementation of molecular simulations in the MOF field are given, high‐throughput computational screening studies used to unlock the ...
Hilal Daglar+3 more
wiley +1 more source
Towards leveraging explicit negative statements in knowledge graph embeddings
Knowledge Graphs are used in various domains to represent knowledge about entities and their relations. In the vast majority of cases, they capture what is known to be true about those entities, i.e., positive statements, while the Open World Assumption ...
Rita T. Sousa+2 more
doaj
Jumping knowledge graph attention network for resource allocation in wireless cellular system. [PDF]
Sun Q, Fang Z, Li Y, Petrosian O.
europepmc +1 more source
Computational Modeling of Reticular Materials: The Past, the Present, and the Future
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman+3 more
wiley +1 more source