Results 21 to 30 of about 180,088 (293)

Non-Hermitian topological states in 2D line-graph lattices: evolving triple exceptional points on reciprocal line graphs

open access: yesNew Journal of Physics, 2021
Non-Hermitian (NH) topological states, such as the doubly-degenerate nodes dubbed as exceptional points (EPs) in Bloch band structure of 2D lattices driven by gain and loss, have attracted much recent interest.
Hang Liu, Sheng Meng, Feng Liu
doaj   +1 more source

Density Gain-Rate Peaks for Spectral Clustering

open access: yesIEEE Access, 2021
Clustering has been troubled by varying shapes of sample distributions, such as line and spiral shapes. Spectral clustering and density peak clustering are two feasible techniques to address this problem, and have attracted much attention from academic ...
Jiexing Liu, Chenggui Zhao
doaj   +1 more source

Certain operations on interval-valued picture fuzzy graphs with application

open access: yesInternational Journal of Mathematics for Industry, 2023
Graph theory has various applications in computer science, such as image segmentation, clustering, data mining, image capturing, and networking. Fuzzy graph (FG) theory has been widely adopted to handle uncertainty in graph-related problems.
Biswajit Das Adhikari   +3 more
doaj   +1 more source

A Hierarchical Parallel Graph Summarization Approach Based on Ranking Nodes

open access: yesApplied Sciences, 2023
Graph summarization techniques are vital in simplifying and extracting enormous quantities of graph data. Traditional static graph structure-based summarization algorithms generally follow a minimum description length (MDL) style, and concentrate on ...
Qiang Liu, Jiaxing Wei, Hao Liu, Yimu Ji
doaj   +1 more source

Multi-Behavior Enhanced Heterogeneous Graph Convolutional Networks Recommendation Algorithm based on Feature-Interaction

open access: yesApplied Artificial Intelligence, 2023
Graph convolution neural networks have shown powerful ability in recommendation, thanks to extracting the user-item collaboration signal from users’ historical interaction information.
Yang Li   +4 more
doaj   +1 more source

Deeper Exploiting Graph Structure Information by Discrete Ricci Curvature in a Graph Transformer

open access: yesEntropy, 2023
Graph-structured data, operating as an abstraction of data containing nodes and interactions between nodes, is pervasive in the real world. There are numerous ways dedicated to extract graph structure information explicitly or implicitly, but whether it ...
Xin Lai   +4 more
doaj   +1 more source

Total Minimal Dominating Signed Graph [PDF]

open access: yes, 2010
Cartwright and Harary considered graphs in which vertices represent persons and the edges represent symmetric dyadic relations amongst persons each of which designated as being positive or negative according to whether the nature of the relationship is ...
Reddy, Siva Kota, Vijay, S.
core   +1 more source

Scaling of gain bounds for switched adaptive control with large uncertainties [PDF]

open access: yes, 2007
A wide class of MMAC with a finite lp closed loop gain are shown to have an unboundedly increasing l_p closed loop gain for a simple set of plants under increasing parametric uncertainty.
Mark French   +3 more
core   +1 more source

Graph Gain: A Concave-Hull Based Volumetric Gain for Robotic Exploration

open access: yesCoRR, 2022
The existing volumetric gain for robotic exploration is calculated in the 3D occupancy map, while the sampling-based exploration method is extended in the reachable (free) space. The inconsistency between them makes the existing calculation of volumetric gain inappropriate for a complete exploration of the environment. To address this issue, we propose
Zezhou Sun   +3 more
openaire   +2 more sources

Oriented gain graphs, line graphs and eigenvalues [PDF]

open access: yesLinear Algebra and its Applications, 2016
A theory of orientation on gain graphs (voltage graphs) is developed to generalize the notion of orientation on graphs and signed graphs. Using this orientation scheme, the line graph of a gain graph is studied. For a particular family of gain graphs with complex units, matrix properties are established.
openaire   +3 more sources

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