Results 41 to 50 of about 2,166 (199)
Further study of eccentricity based indices for benzenoid hourglass network
Heliyon, 2023 Topological Indices are the mathematical estimate related to atomic graph that corresponds biological structure with several real properties and chemical activities. These indices are invariant of graph under graph isomorphism.
Hifza Iqbal +6 more
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Spectrally Robust Graph Isomorphism [PDF]
, 2018 We initiate the study of spectral generalizations of the graph isomorphism problem. b) The Spectral Graph Dominance (SGD) problem: On input of two graphs G and H does there exist a permutation pi such that G preceq pi(H)?
Kolla, Alexandra +3 more
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A Graph Isomorphism Network with Weighted Multiple Aggregators for Speech Emotion Recognition
, 2022 Speech emotion recognition (SER) is an essential part of human-computer interaction. In this paper, we propose an SER network based on a Graph Isomorphism Network with Weighted Multiple Aggregators (WMA-GIN), which can effectively handle the problem of ...
Hu, Ying +3 more
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Graph Isomorphism and Hybrid-Order Residual Gated Graph Neural Network for Session-Based Recommendation [PDF]
Jisuanji kexue yu tansuoSession-based recommendation aims to predict which item will be clicked next for the current session. Aiming at the shortcomings of existing session recommendation models based on graph neural network, this paper proposes a model named graph isomorphism ...
WANG Yonggui, YU Qi
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QuateXelero : an accelerated exact network motif detection algorithm
, 2013 Finding motifs in biological, social, technological, and other types of networks has become a widespread method to gain more knowledge about these networks’ structure and function.
Dichter, Norbert +9 more
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Interaction graphs of isomorphic automata networks I: Complete digraph and minimum in-degree
Journal of Computer and System Sciences, 2023 An automata network with $n$ components over a finite alphabet $Q$ of size $q$ is a discrete dynamical system described by the successive iterations of a function $f:Q^n\to Q^n$. In most applications, the main parameter is the interaction graph of $f$: the digraph with vertex set $[n]$ that contains an arc from $j$ to $i$ if $f_i$ depends on input $j$.
Bridoux, Florian +3 more
openaire +4 more sources
, 2008 We consider the size and structure of the automorphism groups of a variety of empirical ‘real-world’ networks and find that, in contrast to classical random graph models, many real-world networks are richly symmetric.
Sanchez-Garcia, Ruben J. +2 more
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Analyzing single-valued neutrosophic fuzzy graphs through matroid perspectives
Ain Shams Engineering JournalWe hope to present this paper on the emergence of a novel category of matroids derived from single-valued neutrosophic (SVN) fuzzy-graphs. The findings of this study make a substantial contribution to both matroid theory and the field of neutrosophic ...
S.M. Balaji, D. Meiyappan, R. Sujatha
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Investigating Hypernode Classification of Complex Systems Based on High-order Graph Neural Networks
Guidance, Navigation and ControlInvestigating latent interactions beyond direct connections is essential for analyzing complex networks. However, traditional graph structures often fail to capture complex relationships, especially in the high-order interactions among multiple ...
Jiawen Chen +3 more
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Improved Lipophilicity and Aqueous Solubility Prediction with Composite Graph Neural Networks
Molecules, 2021 The accurate prediction of molecular properties, such as lipophilicity and aqueous solubility, are of great importance and pose challenges in several stages of the drug discovery pipeline.
Oliver Wieder +6 more
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