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September 29, 2025Open Access

How Particle System Theory Enhances Hypergraph Message Passing

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The approach reduces over-smoothing, enabling deeper message passing in hypergraphs while maintaining equilibrium.
Incorporating both first-order and second-order particle system equations enables detailed modeling of interactions.
Deterministic and stochastic elements in message passing accommodate uncertainties in interactions and dynamics.
The proposed framework demonstrates competitive results on hypergraph node classification tasks across various datasets.

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This novel framework incorporates particle dynamics to improve message passing in hypergraphs, suggesting benefits for node classification tasks.

Ma et al. (2025) studied this question.

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This novel framework incorporates particle dynamics to improve message passing in hypergraphs, suggesting benefits for node classification tasks.