Entropy-Guided Graph Clustering via Rényi Optimization
Graph clustering is a fundamental task in network analysis, with applications ranging from community detection to protein complex identification. While Graph Neural Networks (GNNs) have shown promising results in this domain, they often struggle to ...
Begga, Ahmed +5 more
core +1 more source
Entropy-Based Graph Clustering of PPI Networks for Predicting Overlapping Functional Modules of Proteins. [PDF]
Jeong H +4 more
europepmc +1 more source
Motivic clustering schemes for directed graphs [PDF]
Facundo Mémoli +1 more
openalex +1 more source
PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley +1 more source
Large-Scale 802.11 Wireless Networks Data Analysis Based on Graph Clustering. [PDF]
Capdehourat G +7 more
europepmc +1 more source
Benchmark Tests of Convolutional Neural Network and Graph Convolutional Network on HorovodRunner Enabled Spark Clusters [PDF]
Jing Pan, Wendao Liu, Jing Zhou
openalex +1 more source
G$^2$uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering [PDF]
Hao Yu +7 more
openalex +1 more source
The present study investigates recycling of NiTi shape memory alloys via vacuum induction melting. An ingot was synthesized from elemental Ni and Ti and subjected to three subsequent remelting cycles. Remelting increases process durations and impurity levels and adversely affects microstructures and functional properties.
Sakia Sophia Noorzayee +7 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]
Karim MB, Kanaya S, Altaf-Ul-Amin M.
europepmc +1 more source
Soft Mechanical‐Electrical Logic Using Liquid Metal‐Filled 3D‐Printed Architectures
We present 3D‐printed soft mechanical–electrical logic elements that use liquid metal–filled silicone tubes actuated by thermoplastic polyurethane/polylactic acid (TPU/PLA) architectures to produce Boolean operations. Complementary normally open and normally closed unit cells perform repeatable binary transitions and can be combined into more complex ...
Christoph Lehmann +2 more
wiley +1 more source

