Regarding reference for performance of GCN "(pixels baseline) [19], low res" provided in table 2 for this work.

[aryan-at-ul]

Hi, I wanted to reach out to you regarding the accuracy of GCN (pixels baseline)[19] table 2, I was working on something very similar, but I needed some previous work to compare with, my performance is very poor not more than 34% when I checked the given reference it has no mention of GCN being applied for Cifar10 classification. Was that the result you gained when converting data in this format data = [torch.from_numpy(np.concatenate((coord, avg_values), axis=1)).unsqueeze(0).float(), torch.from_numpy(A_spatial).unsqueeze(0).float(), False] where the number of superpixels is equal to the total pixels present? Any insight you can give me would be constructive. I am looking to refer to the application of GCN for cifar10 classification, where nodes in the graph represent pixels in the image.

regards Arayn