Closed ZJJTSL closed 3 years ago
Hello, you can run process_data()
in dataprocess.py
to generate the 'citeseer.feature' file, using the original data files in gcn as input. But actually, we have already provided the feature file in citeseer.zip, and you just need to unzip it first. Then generate_knn()
is used for constructing feature graph.
Hello, you can run
process_data()
indataprocess.py
to generate the 'citeseer.feature' file, using the original data files in gcn as input. But actually, we have already provided the feature file in citeseer.zip, and you just need to unzip it first. Thengenerate_knn()
is used for constructing feature graph.
yeah,i've noticed the citeseer.zip,but i want to how to make it for a new dataset . In the dataprocess.py line 20, i don't know which file is opened, thanks!
Hello, you can run
process_data()
indataprocess.py
to generate the 'citeseer.feature' file, using the original data files in gcn as input. But actually, we have already provided the feature file in citeseer.zip, and you just need to unzip it first. Thengenerate_knn()
is used for constructing feature graph.yeah,i've noticed the citeseer.zip,but i want to how to make it for a new dataset . In the dataprocess.py line 20, i don't know which file is opened, thanks!
I have the same quesion. Looking forward to your answer! Thanks!
Hello, I think I've already given the explanation. The original data files in https://github.com/tkipf/gcn/tree/master/gcn/data is opened as input. You just need download and store them in data/cache/ folder before running dataprocess.py
Yes, you are right, I find it. Thank you!
i wonder to know how to construct the feature graph, i can't make it clear how to get the 'citeseer.feature' file in the processdata.py , look forward for your help,thanks!