gm(A = A, B = B, seeds = seeds, similarity = startm, method = "IsoRank",
lap_method = "greedy")
Match (10 x 10):
corr_A corr_B
1 1 1
2 2 2
3 3 3
4 4 4
5 5 9
6 6 6
7 7 10
8 8 8
9 9 5
10 10 7
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
[1,] 1 0 0 0 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
[2,] 0 1 0 0 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
[3,] 0 0 1 0 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
[4,] 0 0 0 1 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
[5,] 0 0 0 0 0.0187 0.0035 0.0120 0.0068 0.0120 0.0042
[6,] 0 0 0 0 0.0013 0.0007 0.0009 0.0005 0.0009 0.0009
[7,] 0 0 0 0 0.0061 0.0012 0.0050 0.0010 0.0050 0.0053
[8,] 0 0 0 0 0.0099 0.0032 0.0036 0.0065 0.0036 0.0037
[9,] 0 0 0 0 0.0196 0.0042 0.0126 0.0074 0.0126 0.0050
[10,] 0 0 0 0 0.0057 0.0010 0.0046 0.0009 0.0046 0.0051
gm(A = A, B = B, seeds = seeds, similarity = startm, method = "IsoRank",
lap_method = "LAP")
Match (10 x 10):
corr_A corr_B
1 1 1
2 2 2
3 3 3
4 4 4
5 5 9
6 6 6
7 7 7
8 8 8
9 9 5
10 10 10
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
[1,] 1 0 0 0 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
[2,] 0 1 0 0 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
[3,] 0 0 1 0 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
[4,] 0 0 0 1 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
[5,] 0 0 0 0 0.0187 0.0035 0.0120 0.0068 0.0120 0.0042
[6,] 0 0 0 0 0.0013 0.0007 0.0009 0.0005 0.0009 0.0009
[7,] 0 0 0 0 0.0061 0.0012 0.0050 0.0010 0.0050 0.0053
[8,] 0 0 0 0 0.0099 0.0032 0.0036 0.0065 0.0036 0.0037
[9,] 0 0 0 0 0.0196 0.0042 0.0126 0.0074 0.0126 0.0050
[10,] 0 0 0 0 0.0057 0.0010 0.0046 0.0009 0.0046 0.0051
gm(A = A, B = B, seeds = seeds, similarity = startm, method = "IsoRank",
lap_method = "LAP")
Match (10 x 10):
corr_A corr_B
1 1 1
2 2 2
3 3 3
4 4 4
5 5 5
6 6 6
7 7 7
8 8 8
9 9 9
10 10 10
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
[1,] 1 0 0 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
[2,] 0 1 0 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
[3,] 0 0 1 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
[4,] 0 0 0 0.2610 0.0108 0.0111 0.0113 0.0063 0.0143 0.0103
[5,] 0 0 0 0.0070 0.0227 0.0078 0.0088 0.0072 0.0229 0.0074
[6,] 0 0 0 0.0061 0.0101 0.0138 0.0163 0.0079 0.0118 0.0070
[7,] 0 0 0 0.0083 0.0117 0.0163 0.0249 0.0114 0.0183 0.0095
[8,] 0 0 0 0.0061 0.0108 0.0071 0.0122 0.0113 0.0108 0.0064
[9,] 0 0 0 0.0061 0.0217 0.0138 0.0132 0.0033 0.0571 0.0083
[10,] 0 0 0 0.0081 0.0158 0.0086 0.0095 0.0025 0.0205 0.0092
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