I'm using NgramCNN mode to train on chemoinformatics dataset. As reported in the paper that graphs can be augmented in preprocessing stage. But unable to produce extend graph number. So i tried to change "duplicate_limit" parameter in the code and still nothing change. I have also tried on the given example "mutag dataset". Output is given below.
Dataset: mutag
Operation: 1
Parameters:
Kernel width: 7
graph num is 188
max node: 28
max label: 2
max degree: 1.2222222222222223
min degree: 1.0
avg degree: 1.0943860392762486
max node: 28
min node: 10
avg node: 17
max edge: 33
min edge: 10
avg edge: 19
org graph number 188
extend graph number 0
start writing disk
done
Kindly tell me how to extend graph number using this model as reported. Any suggestions will be appreciated in advance.
I'm using NgramCNN mode to train on chemoinformatics dataset. As reported in the paper that graphs can be augmented in preprocessing stage. But unable to produce extend graph number. So i tried to change "duplicate_limit" parameter in the code and still nothing change. I have also tried on the given example "mutag dataset". Output is given below. Dataset: mutag Operation: 1 Parameters: Kernel width: 7 graph num is 188 max node: 28 max label: 2 max degree: 1.2222222222222223 min degree: 1.0 avg degree: 1.0943860392762486 max node: 28 min node: 10 avg node: 17 max edge: 33 min edge: 10 avg edge: 19 org graph number 188 extend graph number 0 start writing disk done
Kindly tell me how to extend graph number using this model as reported. Any suggestions will be appreciated in advance.