Frequency-Guided Dynamic Hypergraph Learning for Traffic Flow Forecasting. [PDF]
Li W, Wang B, Li G, Ma Y, Jiang B.
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Cover-free families on hypergraphs and combinatorial group testing. [PDF]
Idalino TB, Moura L.
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AE-HGNN: attention-enhanced hypergraph neural networks for interpretable stress prediction through higher-order dependency modeling. [PDF]
Garg B +5 more
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Hypergraph: A Unified and Uniform Definition with Application to Chemical Hypergraph and More
The conventional definition of hypergraph has two major issues: (1) there is not a standard definition of directed hypergraph and (2) there is not a formal definition of nested hypergraph.
Chang, Daniel T.
core
Information theory for hypergraph similarity. [PDF]
Felippe H, Kirkley A, Battiston F.
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S2-HGNN: Scale-Aware Hypergraph Node Classification with Spectral Inductive Bias. [PDF]
Zhou J +7 more
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Graph and Hypergraph Theories Applied to Dynamic Protein-Protein Interaction Network Analysis, and Deep-Learning Frameworks for Protein Complex Network Prediction. [PDF]
Chan KY +4 more
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The Ramsey number for hypergraph cycles, I.
Let Cn denote the 3-uniform hypergraph loose cycle, that is the hypergraph with vertices v1,..., vn and edges v1v2v3, v3v4v5, v5v6v7,..., vn−1vnv1. We prove that every red-blue colouring of the edges of the complete 3-uniform hypergraph with N vertices ...
M. Simonovits +5 more
core
Spectral-Structural Decoupled Hypergraph Neural Network for <i>Fritillaria</i> Species Identification Using Hyperspectral Imaging. [PDF]
Wang X +7 more
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Strategy evolution on temporal hypergraphs. [PDF]
Wang X, Zhou L, McAvoy A, Tian Z, Li A.
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