matlab交叉验证代码-pytorch_DGCNN:DGCNN的PyTorch实现
matlab交叉验证代码PyTorch
DGCNN
关于
DGCNN（深图卷积神经网络）的PyTorch实现。
检查更多信息。
要求：python
2.7或python
3.6；
火炬>
=
0.4.0
安装
此实现基于戴汉俊的structure2vec图后端。
在“
lib
/”目录下，键入
make
-j4
编译必要的c
++文件。
之后，在此存储库的根目录下，键入
./run_DGCNN.sh
使用默认设置在数据集MUTAG上运行DGCNN。
或输入
./run_DGCNN.sh
DATANAME
FOLD
在数据集=
DATANAME上运行，使用倍数=
FOLD（1-10，对应于在交叉验证实验中用作测试数据的倍数）。
如果将FOLD设置为0，例如键入“
./run_DGCNN.sh
DD
0”，则它将在DD上运行10倍交叉验证，并报告平均准确度。
或者，键入
./run_DGCNN.sh
DATANAME
1
200
将数据集中的最后200张图用作测试图。
折数1将被忽略。
检查“
run_DGCNN.sh”以获取更多选项。
数据集
默认图形数据集存储在“
data
/
DSN
文件下载
资源详情
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