# Tools Graph Matching

## Documentation for package ‘iGraphMatch’ version 1.0.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

bari_start | Start matrix initialization
best_matches | Choose best matches
C.Elegans | Chemical synapses and electrical synapses networks of roundworm
center_graph | Center adjacency matrix
check_seeds | Standardize seeds input data type
do_lap | Linear (sum) assignment problem
edge_match_info | Matching performance summary
Enron | Email communication networks of Enron Corporation
get_perm | Get Permutation
gm_indefinite | Frank-Wolfe Graph Matching Methods
graph_match_convex | Frank-Wolfe Graph Matching Methods
graph_match_ExpandWhenStuck | Percolation Graph Matching Methods
graph_match_FW | Frank-Wolfe Graph Matching Methods
graph_match_IsoRank | Spectral Graph Matching Methods: IsoRank Algorithm
graph_match_PATH | Frank-Wolfe Graph Matching Methods
graph_match_percolation | Percolation Graph Matching Methods
graph_match_Umeyama | Spectral Graph Matching Methods: Umeyama Algorithm
init_start | Initialization of the start matrix
innerproduct | Matrix inner products
innerproduct-method | Matrix inner products
lapjv | Solves the linear assignment problem using the Jonker-Vogenant algorithm
lapmod | Solves the linear assignment problem using the LAPMOD algorithm
largest_common_cc | Find the largest common connected subgraph(LCCS)
matched_adjs | document
match_plot_igraph | Plotting methods for visualizing matches
match_plot_matrix | Plotting methods for visualizing matches
match_report | Matching performance summary
pad | Pad a matrix object with extra rows/columns of 0s.
rds_from_sim_start | Start matrix initialization
rds_perm_bari_start | Start matrix initialization
rds_sinkhorn_start | Start matrix initialization
row_cor | Measure functions
row_diff | Measure functions
row_perm_stat | Measure functions
rperm | Sample random permutation matrix
sample_correlated_gnp_pair | Sample correlated G(n,p) random graphs
sample_correlated_gnp_pair_w_junk | Sample correlated G(n,p) random graphs
sample_correlated_ieg_pair | Sample graphs from edge probability matrix and correlation matrix
sample_correlated_rdpg | Sample graphs from edge probability matrix and correlation matrix
sample_correlated_sbm_pair | Sample graphs pair from stochastic block model
sample_correlated_sbm_pair_w_junk | Sample graphs pair from stochastic block model
split_igraph | Split an 'igraph' object into aligned graphs by attribute
splr | Sparse Plus Low-Rank Matrices
splr-method | Sparse Plus Low-Rank Matrices
splrMatrix-class | Sparse Plus Low-Rank Matrices
splr_sparse_plus_constant | Add a constant to a splrMatrix object
splr_to_sparse | Convert splr 'Matrix' to Sparse