Results 61 to 70 of about 232,087 (312)
Clustering graph data: the roadmap to spectral techniques
Discover Artificial IntelligenceGraph data models enable efficient storage, visualization, and analysis of highly interlinked data, by providing the benefits of horizontal scalability and high query performance.
Rahul Mondal +5 more
doaj +1 more source
Universal spectral statistics in quantum graphs
, 2004 We prove that the spectrum of an individual chaotic quantum graph shows universal spectral correlations, as predicted by random--matrix theory. The stability of these correlations with regard to non--universal corrections is analyzed in terms of the ...
Alexander Altland +4 more
core +1 more source
Advanced Engineering Materials, EarlyView.An idea of designing novel sensors is proposed by creating appropriate Schottky barriers and vacancies between isomorphous Core‐CuOii/ Shell‐CuOi secondary microspheres and enhancing catalytic and spill‐over effects, and electronegativity via spontaneous biphasic separation, self‐assembly, and trace‐Ni‐doping.
Bala Ismail Adamu +8 more
wiley +1 more source
The spectral determinations of connected multicone graphs Kw ▽ mCP(n)
AIMS Mathematics, 2019 The main goal of this study is to characterize new classes of multicone graphs which are determined by their spectra. One of important part of algebraic graph theory is devoted to spectral graph theory.
Sara Pouyandeh +2 more
doaj +1 more source
Hyperspectral Image Classification with Localized Graph Convolutional Filtering
Remote Sensing, 2021 The nascent graph representation learning has shown superiority for resolving graph data. Compared to conventional convolutional neural networks, graph-based deep learning has the advantages of illustrating class boundaries and modeling feature ...
Shengliang Pu +3 more
doaj +1 more source
Source localization on graphs via ℓ1 recovery and spectral graph theory [PDF]
2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2016 We cast the problem of source localization on graphs as the simultaneous problem of sparse recovery and diffusion kernel learning. An l1 regularization term enforces the sparsity constraint while we recover the sources of diffusion from a single snapshot of the diffusion process.
Pena, Rodrigo +2 more
openaire +2 more sources
Advanced Engineering Materials, EarlyView.A wood‐based magnetic and conductive material called Magwood (MW), capable of blocking almost 99.99% of electromagnetic waves (in the X‐band frequency range), is synthesized using a simple, solvent‐free process. MW is lightweight, resists water, and is flame‐retardant, making it a promising alternative for shielding electronics. The rapid proliferation
Akash Madhav Gondaliya +3 more
wiley +1 more source
A novel algebraic technique for adjacency matrices of some derived graphs
Mathematical and Computer Modelling of Dynamical SystemsGraph energy has been the main concern of spectral graph theory in the last five decades. The classical graph energy is the sum of the absolute values of the eigenvalues of the adjacency matrix. In many research papers, different versions of graph energy
Hacer Ozden Ayna +5 more
doaj +1 more source
Lattice fermions as spectral graphs
Journal of High Energy Physics, 2022 We study lattice fermions from the viewpoint of spectral graph theory (SGT). We find that a fermion defined on a certain lattice is identified as a spectral graph. SGT helps us investigate the number of zero eigenvalues of lattice Dirac operators even on
Jun Yumoto, Tatsuhiro Misumi
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Advanced Functional Materials, EarlyView.PBTTT‐OR‐R, a C14‐alkoxy/alkyl‐PBTTT polymer derivative, is of substantial interest for optoelectronics due to its specific fullerene intercalation behavior and enhanced charge‐transfer absorption. Comparing this polymer with (S) and without (O) homocoupling defects reveals that PBTTT‐OR‐R(O) forms stable co‐crystals with PC61BM, while PBTTT‐OR‐R(S ...
Zhen Liu +14 more
wiley +1 more source