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Dynamic Hypergraph Convolutional Network
IEEE International Conference on Data Engineering, 2022Hypergraph Convolutional Network (HCN) has be-come a proper choice for capturing high-order relationships. Existing HCN methods are tailored for static hypergraphs, which are unsuitable for the dynamic evolution in real-world scenarios. In this paper, we
Nan Yin +7 more
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Heterogeneous Hypergraph Variational Autoencoder for Link Prediction
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Link prediction aims at inferring missing links or predicting future ones based on the currently observed network. This topic is important for many applications such as social media, bioinformatics and recommendation systems.
Haoyi Fan +6 more
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Dynamic Hypergraph Learning for Collaborative Filtering
International Conference on Information and Knowledge Management, 2022Hypergraph-based collaborative filtering for recommendations has emerged as an important research topic due to its ability to model complex relations among users and items.
Chunyu Wei, Jian Liang, Bing Bai, Di Liu
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Feature Learning Using Spatial-Spectral Hypergraph Discriminant Analysis for Hyperspectral Image
IEEE Transactions on Cybernetics, 2019Hyperspectral image (HSI) contains a large number of spatial-spectral information, which will make the traditional classification methods face an enormous challenge to discriminate the types of land-cover.
Fulin Luo +4 more
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Russian Mathematics, 2013
We construct two countable collections of operads of multidimensional cubic matrices. In every operad from one of these collections we select a suboperad such that its elements can be interpreted as some hypergraphs. We prove that all these suboperads are Epi-operads. © 2013 Allerton Press, Inc.
Tronin S., Tuktamyshov R.
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We construct two countable collections of operads of multidimensional cubic matrices. In every operad from one of these collections we select a suboperad such that its elements can be interpreted as some hypergraphs. We prove that all these suboperads are Epi-operads. © 2013 Allerton Press, Inc.
Tronin S., Tuktamyshov R.
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2014
Authors: Mario Gionfriddo, Lorenzo Milazzo (Department of Mathematics and Computer Science, University of Catania, Italy), and Vitaly Voloshin (Department of Mathematics, Troy University, AL, US) Book Description: Combinatorial designs represent an important area of contemporary discrete mathematics closely related to such fields as finite geometries ...
Gionfriddo M +2 more
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Authors: Mario Gionfriddo, Lorenzo Milazzo (Department of Mathematics and Computer Science, University of Catania, Italy), and Vitaly Voloshin (Department of Mathematics, Troy University, AL, US) Book Description: Combinatorial designs represent an important area of contemporary discrete mathematics closely related to such fields as finite geometries ...
Gionfriddo M +2 more
openaire +2 more sources