Results 181 to 190 of about 178,314 (358)
A Potts model approach to unsupervised graph clustering with Graph Neural Networks [PDF]
, 2023 Co Tran, Mo Badawy, Tyler McDonnell
openalex +1 more source
Advanced Engineering Materials, EarlyView.A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Dual Clustering-Based Method for Geospatial Knowledge Graph Partitioning
Applied SciencesGeospatial knowledge graphs provide critical technology for integrating geographic information and semantic knowledge, which are very useful for geographic data analysis.
Yuxuan Chen +7 more
doaj +1 more source
MAGUS: Multiple sequence Alignment using Graph clUStering. [PDF]
Bioinformatics, 2021 Smirnov V, Warnow T.
europepmc +1 more source
A survey on graph partitioning approach to spectral clustering
, 2015 Subhanshu Goyal +3 more
openalex +2 more sources
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Advanced Engineering Materials, EarlyView.Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
On Clustering Graph Streams [PDF]
Proceedings of the 2010 SIAM International Conference on Data Mining, 2010 Charu C. Aggarwal +2 more
openaire +1 more source
Clustering Edges Reveals How Vertices Exert Influence in Graph Data
How do vertices and edges collaboratively exert influence in graphs? We develop a framework for edge spectral clustering that reveals how both vertices and edges collaboratively accomplish directed influence in directed graphs.
Premaratne, Kamal, Murthi, Manohar N.
core +1 more source
Renyi entropy driven hierarchical graph clustering. [PDF]
PeerJ Comput Sci, 2021 Oggier F, Datta A.
europepmc +1 more source
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
Advanced Engineering Materials, EarlyView.We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source