Graph-U-Nets issues

Dataset format

1

@HongyangGao hi thanks for sharing the code base , i am just confused with the input dataformat for the architecture are you not taking the data directly from the https://ls11-www.cs.tu-dortmund.de/staff/morris/graphkerneldatasets...

abhigoku10

I have trained this model with source code, but how can I not get the accuracy rate in the paper ?

gk12happy

I have trained my data on this net, but I don't know how to prediction ?

1

Dwightever

Model selection?

Hi, I have a question about selecting models. In DGCNN https://github.com/muhanzhang/pytorch_DGCNN/issues/19, the author uses the accuracy of the test set at the last iteration. In this paper, the best accuracy...

pursueorigin

cat: results/DD.txt: No such file or directory

g degrees = torch.sum(g, 1) RuntimeError: CUDA error: no kernel image is available for execution on the device End of cross-validation using 14 seconds The accuracy results for DD are...

Frank-qlu

Hyper-parameters for node classification tasks?

2

Hi, Hongyang, thanks for sharing the code. Since the code for transductive tasks is not available, could you please share the hyper-parameters such as num of hidden layers in the...

SamitHuang

network setting for node classification

Thanks for your code, could you provide your implementation details for node classification? I can only find that for graph classification.

chengpei-wu

批训练问题

1

您好，我这里有一批节点特征矩阵，大小为[B,N,C]，B是批处理个数，N是节点个数，C是特征维度数；还有一批邻接矩阵[B,N,N]。由于我的邻接矩阵太过稠密，我在使用PYG复现的GraphUNet时显存不足，因为它是用邻接列表存储节点连接关系的。但是现在我想使用邻接矩阵的形式，请问如何进行批训练呢？

Joazs