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A spatio-temporal graph diffusion and federated contrastive learning framework for cross-institutional educational evaluation. [PDF]
Fang X, Xiao F.
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A topic dissemination model based on hypernetwork. [PDF]
Han ZM, Liu Y, Zhang SQ, An YQ.
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Functional Hypergraphs of Stock Markets. [PDF]
David JJ +5 more
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Multimodal CustOmics: A unified and interpretable multi-task deep learning framework for multimodal integrative data analysis in oncology. [PDF]
Benkirane H +6 more
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Durability and service life prediction of fly ash based geopolymer high performance concrete under extreme environmental conditions. [PDF]
Vairagade VS.
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Adaptive deep clustering integrating DINOv2 embeddings, graph attention, and bio-inspired optimization. [PDF]
Abdrabo M +3 more
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2020
Summary: Non-uniform hypergraphs are a generalization of hypergraphs in which not all edges need to have the same cardinality. It allows them to support a more complex data structure. In this paper, we extend some results for non-uniform hypergraphs and generalize the spectral results for uniform hypergraphs to non-uniform hypergraphs.
Shirdel, Gholam Hassan +2 more
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Summary: Non-uniform hypergraphs are a generalization of hypergraphs in which not all edges need to have the same cardinality. It allows them to support a more complex data structure. In this paper, we extend some results for non-uniform hypergraphs and generalize the spectral results for uniform hypergraphs to non-uniform hypergraphs.
Shirdel, Gholam Hassan +2 more
openaire +2 more sources

