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BUPT-GAMMA / Graph-Structure-Estimation-Neural-Networks

Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"
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A question about the results of Geom-GCN in the paper #2

Open zzysh12345 opened 3 years ago

zzysh12345 commented 3 years ago

Hi! I am working on reproducing the results of Geom-GCN under the setting where there are 20 nodes for each class, just like yours. For citeseer dataset, under the 0.6-0.2-0.2 setting in their work, my results are exactly the same as theirs. But under the limited data scenario in your paper(20 nodes each class), using the original hyper-parameters leads to acc 0.5, 15 percent lower than your report(0.65). Did you meet the same situation when doing experiments on Geom-GCN? Is this due to hyper-parameters? I would be grateful if you shared with me the hyper-parameters settings you took for Geom-GCN.

zzysh12345 commented 3 years ago

Oh, I forgot ask which embedding method in Geom-GCN you choosed to get the results in your paper.