Related Issues (20)
- Question about the loss function in the transferLearning_MoleculeNet_PPI/chem HOT 1
- About Unsupervised_Cora_Citeseer HOT 1
- Different result about Transfer Learning HOT 2
- ValueError: `MessagePassing.propagate` only supports `torch.LongTensor` of shape `[2, num_messages]` or `torch_sparse.SparseTensor` for argument `edge_index`. HOT 1
- Question about GraphCL HOT 1
- Question About Sungraph HOT 1
- Question about data augmentation HOT 1
- Question about Unsupervised_TU HOT 4
- Unsupervised learning with self created dataset HOT 1
- graph classification HOT 1
- 问题请教 HOT 1
- A question about Semisupervised_TU in pre_training HOT 1
- 运行过程未结束就‘Early stopping!’ HOT 1
- Question about Unsupervised_TU experiments details HOT 4
- Question about Unsupervised-TU ''test'' and ''val'' HOT 1
- How to use for Graph Clustering. HOT 1
- information about the datasets HOT 1
- Question about cortex_DIM in net_infomax.py of semisupervised_TU/finetuning HOT 2
- File "/home/test02/code/GraphCL-master/semisupervised_TU/pre-training/feature_expansion.py", line 27, in __init__ super(FeatureExpander, self).__init__('add', 'source_to_target') TypeError: __init__() takes from 1 to 2 positional arguments but 3 were given HOT 1
- Dateset Error HOT 2
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