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When I ran the model with the following command: python train.py --task nc --dataset disease_nc --model HGCN --dim 16 --lr 0.01 --dim 16 --num-layers 2 --act relu --bias 1 --dropout 0 --weight-decay 0 --manifold Hyperboloid --log-freq 5 --cuda 0 --use-att 1 --local-agg 1
python train.py --task nc --dataset disease_nc --model HGCN --dim 16 --lr 0.01 --dim 16 --num-layers 2 --act relu --bias 1 --dropout 0 --weight-decay 0 --manifold Hyperboloid --log-freq 5 --cuda 0 --use-att 1 --local-agg 1
I got the following error: IndexError: too many indices for tensor of dimension 1
I felt confused about this problem. Please help me.
The text was updated successfully, but these errors were encountered:
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When I ran the model with the following command:
python train.py --task nc --dataset disease_nc --model HGCN --dim 16 --lr 0.01 --dim 16 --num-layers 2 --act relu --bias 1 --dropout 0 --weight-decay 0 --manifold Hyperboloid --log-freq 5 --cuda 0 --use-att 1 --local-agg 1I got the following error:
IndexError: too many indices for tensor of dimension 1
I felt confused about this problem. Please help me.
The text was updated successfully, but these errors were encountered: