No-frills, SciPy-based implementation of the regularized Laplacian kernel for smoothing node scores across a network.
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No-frills, SciPy-based implementation of the regularized Laplacian kernel for smoothing node scores across an undirected network. Works easily with graphs stored in "sif" format (Cytoscape friendly) or tab-delimited format. Doesn't do anything smart about inverting the matrix, but it does seem to work fine on ~100k-node matrices given enough mem…
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deborah-chasman/Regularized-Laplacian-Kernel-Py
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No-frills, SciPy-based implementation of the regularized Laplacian kernel for smoothing node scores across an undirected network. Works easily with graphs stored in "sif" format (Cytoscape friendly) or tab-delimited format. Doesn't do anything smart about inverting the matrix, but it does seem to work fine on ~100k-node matrices given enough mem…
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