utils_normalized_laplacian: Compute normalized Laplacian of an adjacency matrix
In rdinnager/rspektral: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Value
Description
\loadmathjax
Computes a normalized Laplacian of the given adjacency matrix as
\mjeqnI - D^-1AI - D^(-1)A or \mjeqnI - D^-1/2AD^-1/2I - D^(-1/2)AD^(-1/2) (symmetric normalization).
Usage
1
utils_normalized_laplacian(A, symmetric = TRUE)
Arguments
A
rank 2 array or sparse matrix;
symmetric
boolean, compute symmetric normalization
Value
the normalized Laplacian.
rdinnager/rspektral documentation built on June 12, 2021, 1:26 a.m.
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Description Usage Arguments Value
Description
\loadmathjaxComputes a normalized Laplacian of the given adjacency matrix as \mjeqnI - D^-1AI - D^(-1)A or \mjeqnI - D^-1/2AD^-1/2I - D^(-1/2)AD^(-1/2) (symmetric normalization).
Usage
1 | utils_normalized_laplacian(A, symmetric = TRUE)
|
Arguments
A |
rank 2 array or sparse matrix; |
symmetric |
boolean, compute symmetric normalization |
Value
the normalized Laplacian.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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