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Found 2 papers, 1 papers with code
Learning Diffeomorphism for Image Registration with Time-Continuous Networks using Semigroup Regularization
As one of the fundamental properties of flow maps, we exploit the semigroup property as the only form of regularization, ensuring temporally continuous diffeomorphic flows between pairs of images.
Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks
We evaluate our method, referred to as Maximum Entropy Weighted Independent Set Pooling (MEWISPool), on graph classification tasks and the combinatorial optimization problem of the maximum independent set.
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Graph Classification
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