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Found 2 papers, 1 papers with code
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks
We study various aspects of our proposed model including, dependency on the number of eigencomponents utilized, latent polynomial filters learned, and performance of the individual polynomials on the node classification task.
Effective Polynomial Filter Adaptation for Graph Neural Networks
We study various aspects of our proposed model including, dependency on the number of eigencomponents utilized, latent polynomial filters learned, and performance of the individual polynomials on the node classification task.
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