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Found 2 papers, 1 papers with code
Product Manifold Representations for Learning on Biological Pathways
Machine learning models that embed graphs in non-Euclidean spaces have shown substantial benefits in a variety of contexts, but their application has not been studied extensively in the biological domain, particularly with respect to biological pathway graphs.
Almost Equivariance via Lie Algebra Convolutions
Recently, the equivariance of models with respect to a group action has become an important topic of research in machine learning.
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