Entropy-Based Graph Clustering of PPI Networks for Predicting Overlapping Functional Modules of Proteins. [PDF]
Entropy (Basel), 2021 Jeong H +4 more
europepmc +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
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
Large-Scale 802.11 Wireless Networks Data Analysis Based on Graph Clustering. [PDF]
Wirel Pers Commun, 2021 Capdehourat G +7 more
europepmc +1 more source
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
Antibacterial Activity Prediction of Plant Secondary Metabolites Based on a Combined Approach of Graph Clustering and Deep Neural Network. [PDF]
Mol Inform, 2022 Karim MB, Kanaya S, Altaf-Ul-Amin M.
europepmc +1 more source
Advanced Engineering Materials, EarlyView.Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
A Graph Clustering Approach to Localization for Adaptive Covariance Tuning in Data Assimilation Based on State-Observation Mapping. [PDF]
Math Geosci, 2021 Cheng S +4 more
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
Potential Arabidopsis thaliana glucosinolate genes identified from the co-expression modules using graph clustering approach. [PDF]
PeerJ, 2021 Harun S +5 more
europepmc +1 more source