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A Novel Algorithm for Imbalance Data Classification Based on Neighborhood Hypergraph
The classification problem for imbalance data is paid more attention to. So far, many significant methods are proposed and applied to many fields. But more efficient methods are needed still. Hypergraph may not be powerful enough to deal with the data in
Feng Hu, Xiao Liu, Jin Dai, Hong Yu
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Discovery of the D-basis in binary tables based on hypergraph dualization [PDF]
Kira Adaricheva, J. B. Nation
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Hypergraph-Mlp: Learning on Hypergraphs Without Message Passing
Hypergraphs are vital in modelling data with higher-order relations containing more than two entities, gaining prominence in machine learning and signal processing. Many hypergraph neural networks leverage message passing over hypergraph structures to enhance node representation learning, yielding impressive performances in tasks like hypergraph node ...
Tang, B, Chen, S, Dong, X
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Circulant Tensors with Applications to Spectral Hypergraph Theory and Stochastic Process [PDF]
Zhongming Chen, Liqun Qi
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Hypergraphes de Petersen! Hypergraphes de Moore?
RésuméOn étudie ici des sous structures des plan projectifs finis Pg(2,n) oú n est impair. Dans ceux-ci les (n + 1)-arcs induisent une décomposition canonique.Soit E l'ensemble des points, D celui des droites, appelons X l'ensemble des points d'un (n+1)-arc.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Interpreting Random Hypergraphs in Pseudofinite Fields [PDF]
Özlem Beyarslan
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