Results 1 to 10 of about 381,641 (217)
The non-commuting graph of a non-central hypergroup
Open Mathematics, 2019 The aim of this paper is to construct and study the properties of a certain graph associated with a non-central hypergroup, i.e. a hypergroup having non-commutative the associated fundamental group.
Iranmanesh Mahdiyeh +2 more
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Commuting conjugacy classes graph of the generalized dihedral and dicyclic groups [PDF]
ریاضی و جامعه, 2023 Suppose $G$ is a finite non-abelian group and $\Gamma(G)$ is a simple graph with the non-central conjugacy classes of $G$ as its vertex set. Two different non-central conjugacy classes $A$ and $B$ are assumed to be adjacent if and only if there are ...
Mohammadali Salahshour
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Research on Imbalance Fraud Detection Based on Graph Neural Network [PDF]
Jisuanji gongcheng, 2023 Currently, graph neural network is widely used in fraud detection. Because of the class imbalance problem in fraud detection, the performance of the model based on graph neural network is poor. To solve these problems, an unbalanced fraud detection model
Anqi CHEN, Rui CHEN, Zhufang KUANG, Huajun HUANG
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On the r-dynamic coloring of some fan graph families
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2021 In this paper, we determine the r-dynamic chromatic number of the fan graph Fm,n and determine sharp bounds of this graph invariant for four related families of graphs: The middle graph M(Fm,n), the total graph T (Fm,n), the central graph C(Fm,n) and the
Falcón Raúl M. +3 more
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On harmonious chromatic number of triple star graph [PDF]
Journal of Hyperstructures, 2016 A Harmonious coloring of a graph G is a proper vertex coloring of G, in which every pair of colors appears on at most one pair of adjacent vertices and the harmonious chromatic number of graph G is the minimum number of colors needed for the harmonious ...
Akhlak Mansuri
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Adaptive Propagation Graph Convolutional Networks Based on Attention Mechanism
Information, 2022 The main steps in a graph neural network are message propagation and aggregation between nodes. Message propagation allows messages from distant nodes in the graph to be transmitted to the central node, while feature aggregation allows the central node ...
Chenfang Zhang, Yong Gan, Ruisen Yang
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IEEE Access, 2021 Graph Neural Networks (GNNs) have been applied in many fields of semi-supervised node classification for non-Euclidean data. However, some GNNs cannot make good use of positive information brought by nodes which are far away from each central node for ...
Kehao Wang +7 more
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Real Quadratic-Form-Based Graph Pooling for Graph Neural Networks
Machine Learning and Knowledge Extraction, 2022 Graph neural networks (GNNs) have developed rapidly in recent years because they can work over non-Euclidean data and possess promising prediction power in many real-word applications.
Youfa Liu, Guo Chen
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Local Graph Point Attention Network in Point Cloud Segmentation
IEEE Access, 2023 Exploiting global factors and embedding them directly into local graphs in point clouds are challenging due to dense points and irregular structure. To accomplish this goal, we propose a novel end-to-end trainable graph attention network that extracts ...
Anh-Thuan Tran +3 more
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On matching number, decomposition and representation of well-formed graph
Electronic Journal of Graph Theory and Applications, 2023 In this paper, we find a special type of non-traceable cubic bridge graph called well-formed graph whose central fragment is isomorphic to a hairy cycle and whose branches are pairwise isomorphic.
Alex Ralph Baisa Nieva, Karen P. Nocum
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