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Found 2 papers, 1 papers with code
Simplifying Hypergraph Neural Networks
To tackle this challenge, we propose an alternative approach by integrating hypergraph structural information into node features using a training-free model called simplified hypergraph neural network (SHNN) that only contains a predefined propagation step.
Hypergraph Transformer for Semi-Supervised Classification
Hypergraphs play a pivotal role in the modelling of data featuring higher-order relations involving more than two entities.
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