Results 161 to 170 of about 2,959 (186)
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SIAM Journal on Discrete Mathematics, 1996
A subsystem of an inconsistent set of inequalities is an irreducibly inconsistent subsystem (IIS) if it is inconsistent and if it has no inconsistent proper subsystem. Each IIS can be considered the edge of a hypergraph. The paper presents several properties of this special class of hypergraphs (IIS-hypergraphs).
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A subsystem of an inconsistent set of inequalities is an irreducibly inconsistent subsystem (IIS) if it is inconsistent and if it has no inconsistent proper subsystem. Each IIS can be considered the edge of a hypergraph. The paper presents several properties of this special class of hypergraphs (IIS-hypergraphs).
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Hypergraph isomorphism using association hypergraphs
Pattern Recognition Letters, 2019Abstract Association graphs represent a classical tool to deal with the graph matching problem and recently the idea has been generalized to the case of hypergraphs. In this article, the potential of this approach is explored. The proposed framework uses a class of dynamical systems derived from the Baum-Eagon inequality in order to find the maximum (
Giulia Sandi +2 more
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The Quarterly Journal of Mathematics, 1986
There is proved that every \((h+1)\)-uniform hypergraph H with \(\chi (H)=k\geq 3\) contains a cycle of length at least k and deduced the asymptotic behaviour of the maximum number of k-colourings in the class of all \((h+1)\)-hypergraphs of order n with \(\chi (H)=k\).
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There is proved that every \((h+1)\)-uniform hypergraph H with \(\chi (H)=k\geq 3\) contains a cycle of length at least k and deduced the asymptotic behaviour of the maximum number of k-colourings in the class of all \((h+1)\)-hypergraphs of order n with \(\chi (H)=k\).
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Hypergraph Neural Networks for Hypergraph Matching
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021Xiaowei Liao, Yong Xu 0007, Haibin Ling
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Hypergraph Learning: Methods and Practices
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Zizhao Zhang, Changqing Zou, Yue Gao
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Clustering ensemble via structured hypergraph learning
Information Fusion, 2022Xuejun Li, Peng Zhou
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Hypergraph Convolution on Nodes-Hyperedges Network for Semi-Supervised Node Classification
ACM Transactions on Knowledge Discovery From Data, 2022Michael Ng, Hanrui Wu
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Dynamic weighted hypergraph convolutional network for brain functional connectome analysis
Medical Image Analysis, 2023Junqi Wang, Kim Cecil, Parikh Na
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Hypergraph wavelet neural networks for 3D object classification
Neurocomputing, 2021Jiming Lin, Junyi Wang, Hongbing Qiu
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