Comments (2)
Hi,I think this issue helps: #5.
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Hi,I think this issue helps: #5.
Thanks. Is my understanding correct that difference between the performance of the Graph-MLP and GCN, is mainly due to no adjacency information utilized in the test phase of Graph-MLP?
from graph-mlp.
Related Issues (8)
- NAN loss problem[SOLVED]: Performance Plummets When Setting adj_label Diagonal to Zero HOT 3
- ['x', 'y', 'tx', 'ty', 'allx', 'ally', 'graph'] about data loading. HOT 2
- rand_indx = torch.tensor(np.random.choice(np.arange(adj_label.shape[0]), batch_size)).type(torch.long) ? what is adj_label? HOT 3
- What is the difference between LINE? HOT 4
- Robust experiment HOT 7
- Corrupted Adjacency Matrix
- len(rand_index)<len(idx_train)
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