Results 121 to 130 of about 1,256,700 (250)
SymptomGraph: Identifying Symptom Clusters from Narrative Clinical Notes using Graph Clustering. [PDF]
Tahabi FM, Storey S, Luo X.
europepmc +1 more source
Self-Contrastive Graph Diffusion Clustering for Hyperspectral Images
Hyperspectral image (HSI) clustering is widely utilized in remote sensing applications, yet it remains a challenging unsupervised learning task. In current deep HSI clustering frameworks, the concept of contrastive learning is widely adopted.
Chunyan Wang +8 more
doaj +1 more source
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
Beyond spectral clustering - tight relaxations of balanced graph cuts
Spectral clustering is based on the spectral relaxation of the normalized/ratio graph cut criterion. While the spectral relaxation is known to be loose, it has been shown recently that a non-linear eigenproblem yields a tight relaxation of the Cheeger ...
Hein, Matthias +3 more
core
gcMECM: graph clustering of mutual exclusivity of cancer mutations. [PDF]
Hu Y, Yan C, Chen Q, Meerzaman D.
europepmc +1 more source
Design of a Multistable Finger Prosthesis with Programmable Metamaterials
This research article shows the development of a multistable programmble metamaterial for the use as a finger prosthesis. The material was designed on different hierarchical levels where the influence of geometrical parameters and combination of mechanical elements was explored.
Franziska Wenz +5 more
wiley +1 more source
Deep Contrastive Graph Learning with Clustering-Oriented Guidance [PDF]
Graph Convolutional Network (GCN) has exhibited remarkable potential in improving graph-based clustering. To handle the general clustering scenario without a prior graph, these models estimate an initial graph beforehand to apply GCN.
Chen, Mulin, Li, Xuelong, Wang, Bocheng
core +1 more source
Renyi entropy driven hierarchical graph clustering. [PDF]
Oggier F, Datta A.
europepmc +1 more source
Dual-channel attribute graph clustering beyond the homogeneity assumption
In recent years, significant progress has been made in the research of attribute graph clustering. However, existing methods are mostly based on the homogeneity assumption, thereby neglecting the application scenarios of heterogeneous graphs, leading to ...
AN Junxiu, LIU Yuan, YANG Linwang
doaj
Investigating the Low‐Temperature Phase Stability of the Binary Ta–W System
Atomistic simulations show that the binary Ta–W system forms ordered intermetallic phases, B2‐TaW and D03‐TaW3, as 0 K ground states. Configurational entropy, however, lowers the free energy of the disordered bcc solid solution, which becomes the stable phase above about 400 K.
Klemens Lechner +7 more
wiley +1 more source

