Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')
I have a custom dataset:
Graphs: 79
Classes: 12
Nodes in each graph : min: 4 max: 770
The task is to classify 79 graphs into 12 classes.
The parameters are to be set for node2vec: no. of walks, walk length , other arguments to be passed in the code.
How are these decided and set for such a data. Please help. I want to make histogram 2D images from this data and run a 2D CNN model.