Hello. I am fairly new to this toolkit.
I'll get right in: I have a semi-supervised style graph. It has 69000 nodes with more than 4 million equally weighted edges.
It consists of 650 seeds which are classified between 2 labels: Say 0 and 1.
I wish to propagate these labels to all the nodes through modified adsorption. I need to classify all the labels into 0s and 1s.
I followed the procedure given in the simple_config file, and successfully generated the output. No gold labels are being used here.
According to the syntax mentioned in simple_config, I see the scores of the seed labels, and then the estimated labels with their scores, then a boolean to check if the particular node is a test label, and then the MRR.
So, I need to know, depending on the weights of the graph, what is the algorithm classifying a particular node into - 0 or 1? Am I supposed to calculate the outcome myself based on the scores given in the output? Or is it there and I just can't see it?
I'm sorry if this sounds simple or silly. I just have no one else I can approach. Thanks for your time. Your help is appreciated.
I can give you any more details on query as fast as I can. Thanks.