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Learning the Structure for Structured Sparsity
Structured sparsity has recently emerged in statistics, machine learning and signal processing as a promising paradigm for learning in high-dimensional settings.
Efficient graphlet kernels for large graph comparison
State-of-the-art graph kernels do not scale to large graphs with hundreds of nodes and thousands of edges.
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Graph Classification
on PROTEINS
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