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
[{"title":"（ 277 个子文件 35.06MB ） matlab交叉验证代码-pytorch_DGCNN:DGCNN的PyTorch实现","children":[{"title":"gnn_lib.cpp <span style='color:#111;'> 2.79KB </span>","children":null,"spread":false},{"title":"msg_pass.cpp <span style='color:#111;'> 2.68KB </span>","children":null,"spread":false},{"title":"graph_struct.cpp <span style='color:#111;'> 1.69KB </span>","children":null,"spread":false},{"title":"config.cpp <span style='color:#111;'> 51B </span>","children":null,"spread":false},{"title":"libgnn.d <span style='color:#111;'> 160B </span>","children":null,"spread":false},{"title":"msg_pass.d <span style='color:#111;'> 105B </span>","children":null,"spread":false},{"title":"graph_struct.d <span style='color:#111;'> 74B </span>","children":null,"spread":false},{"title":"config.d <span style='color:#111;'> 56B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 53B </span>","children":null,"spread":false},{"title":"graph_struct.h <span style='color:#111;'> 2.60KB </span>","children":null,"spread":false},{"title":"gnn_lib.h <span style='color:#111;'> 708B </span>","children":null,"spread":false},{"title":"config.h <span style='color:#111;'> 658B </span>","children":null,"spread":false},{"title":"msg_pass.h <span style='color:#111;'> 453B </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"dortmund2txt.m <span style='color:#111;'> 3.87KB </span>","children":null,"spread":false},{"title":"mat2txt.m <span style='color:#111;'> 1.33KB </span>","children":null,"spread":false},{"title":"Makefile <span style='color:#111;'> 825B </span>","children":null,"spread":false},{"title":"COLLAB.mat <span style='color:#111;'> 11.01MB </span>","children":null,"spread":false},{"title":"DD.mat <span style='color:#111;'> 6.42MB </span>","children":null,"spread":false},{"title":"NCI1.mat <span style='color:#111;'> 1.74MB </span>","children":null,"spread":false},{"title":"NCI109.mat <span style='color:#111;'> 1.74MB </span>","children":null,"spread":false},{"title":"PROTEINS.mat <span style='color:#111;'> 513.65KB </span>","children":null,"spread":false},{"title":"PTC.mat <span style='color:#111;'> 501.26KB </span>","children":null,"spread":false},{"title":"ENZYMES.mat <span style='color:#111;'> 288.06KB </span>","children":null,"spread":false},{"title":"IMDBBINARY.mat <span style='color:#111;'> 225.84KB </span>","children":null,"spread":false},{"title":"IMDBMULTI.mat <span style='color:#111;'> 185.32KB </span>","children":null,"spread":false},{"title":"MUTAG.mat <span style='color:#111;'> 36.79KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 2.47KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 702B </span>","children":null,"spread":false},{"title":"graph_struct.o <span style='color:#111;'> 15.05KB </span>","children":null,"spread":false},{"title":"msg_pass.o <span style='color:#111;'> 8.88KB </span>","children":null,"spread":false},{"title":"config.o <span style='color:#111;'> 2.05KB </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 9.33KB </span>","children":null,"spread":false},{"title":"util.py <span style='color:#111;'> 6.88KB </span>","children":null,"spread":false},{"title":"DGCNN_embedding.py <span style='color:#111;'> 5.92KB </span>","children":null,"spread":false},{"title":"gnn_lib.py <span style='color:#111;'> 3.72KB </span>","children":null,"spread":false},{"title":"mlp_dropout.py <span style='color:#111;'> 2.08KB </span>","children":null,"spread":false},{"title":"pytorch_util.py <span style='color:#111;'> 1.81KB </span>","children":null,"spread":false},{"title":"run_DGCNN.sh <span style='color:#111;'> 2.65KB </span>","children":null,"spread":false},{"title":"libgnn.so <span style='color:#111;'> 28.41KB </span>","children":null,"spread":false},{"title":"COLLAB.txt <span style='color:#111;'> 80.35MB </span>","children":null,"spread":false},{"title":"DD.txt <span style='color:#111;'> 7.30MB </span>","children":null,"spread":false},{"title":"Synthie.txt <span style='color:#111;'> 5.71MB </span>","children":null,"spread":false},{"title":"Synthie_node_attributes.txt <span style='color:#111;'> 5.17MB </span>","children":null,"spread":false},{"title":"Synthie_A.txt <span style='color:#111;'> 1.92MB </span>","children":null,"spread":false},{"title":"NCI1.txt <span style='color:#111;'> 1.17MB </span>","children":null,"spread":false},{"title":"NCI109.txt <span style='color:#111;'> 1.17MB </span>","children":null,"spread":false},{"title":"PROTEINS.txt <span style='color:#111;'> 626.97KB </span>","children":null,"spread":false},{"title":"IMDBBINARY.txt <span style='color:#111;'> 567.70KB </span>","children":null,"spread":false},{"title":"IMDBMULTI.txt <span style='color:#111;'> 558.75KB </span>","children":null,"spread":false},{"title":"ENZYMES.txt <span style='color:#111;'> 275.64KB </span>","children":null,"spread":false},{"title":"Synthie_graph_indicator.txt <span style='color:#111;'> 138.43KB </span>","children":null,"spread":false},{"title":"PTC.txt <span style='color:#111;'> 87.80KB </span>","children":null,"spread":false},{"title":"MUTAG.txt <span style='color:#111;'> 31.62KB </span>","children":null,"spread":false},{"title":"train_idx-9.txt <span style='color:#111;'> 21.02KB </span>","children":null,"spread":false},{"title":"train_idx-5.txt <span style='color:#111;'> 21.02KB </span>","children":null,"spread":false},{"title":"train_idx-1.txt <span style='color:#111;'> 21.00KB </span>","children":null,"spread":false},{"title":"train_idx-7.txt <span style='color:#111;'> 21.00KB </span>","children":null,"spread":false},{"title":"train_idx-3.txt <span style='color:#111;'> 20.99KB </span>","children":null,"spread":false},{"title":"train_idx-10.txt <span style='color:#111;'> 20.99KB </span>","children":null,"spread":false},{"title":"train_idx-4.txt <span style='color:#111;'> 20.99KB </span>","children":null,"spread":false},{"title":"train_idx-6.txt <span style='color:#111;'> 20.99KB </span>","children":null,"spread":false},{"title":"train_idx-8.txt <span style='color:#111;'> 20.99KB </span>","children":null,"spread":false},{"title":"train_idx-2.txt <span style='color:#111;'> 20.99KB </span>","children":null,"spread":false},{"title":"train_idx-1.txt <span style='color:#111;'> 17.18KB </span>","children":null,"spread":false},{"title":"train_idx-3.txt <span style='color:#111;'> 17.18KB </span>","children":null,"spread":false},{"title":"train_idx-9.txt <span style='color:#111;'> 17.18KB </span>","children":null,"spread":false},{"title":"train_idx-6.txt <span style='color:#111;'> 17.17KB </span>","children":null,"spread":false},{"title":"train_idx-8.txt <span style='color:#111;'> 17.17KB </span>","children":null,"spread":false},{"title":"train_idx-5.txt <span style='color:#111;'> 17.16KB </span>","children":null,"spread":false},{"title":"train_idx-2.txt <span style='color:#111;'> 17.16KB </span>","children":null,"spread":false},{"title":"train_idx-7.txt <span style='color:#111;'> 17.15KB </span>","children":null,"spread":false},{"title":"train_idx-4.txt <span style='color:#111;'> 17.15KB </span>","children":null,"spread":false},{"title":"train_idx-10.txt <span style='color:#111;'> 17.14KB </span>","children":null,"spread":false},{"title":"train_idx-2.txt <span style='color:#111;'> 17.10KB </span>","children":null,"spread":false},{"title":"train_idx-7.txt <span style='color:#111;'> 17.09KB </span>","children":null,"spread":false},{"title":"train_idx-10.txt <span style='color:#111;'> 17.09KB </span>","children":null,"spread":false},{"title":"train_idx-4.txt <span style='color:#111;'> 17.09KB </span>","children":null,"spread":false},{"title":"train_idx-3.txt <span style='color:#111;'> 17.09KB </span>","children":null,"spread":false},{"title":"train_idx-9.txt <span style='color:#111;'> 17.08KB </span>","children":null,"spread":false},{"title":"train_idx-8.txt <span style='color:#111;'> 17.08KB </span>","children":null,"spread":false},{"title":"train_idx-1.txt <span style='color:#111;'> 17.08KB </span>","children":null,"spread":false},{"title":"train_idx-5.txt <span style='color:#111;'> 17.08KB </span>","children":null,"spread":false},{"title":"train_idx-6.txt <span style='color:#111;'> 17.08KB </span>","children":null,"spread":false},{"title":"train_idx-1.txt <span style='color:#111;'> 5.63KB </span>","children":null,"spread":false},{"title":"train_idx-8.txt <span style='color:#111;'> 5.63KB </span>","children":null,"spread":false},{"title":"train_idx-9.txt <span style='color:#111;'> 5.62KB </span>","children":null,"spread":false},{"title":"train_idx-4.txt <span style='color:#111;'> 5.62KB </span>","children":null,"spread":false},{"title":"train_idx-7.txt <span style='color:#111;'> 5.62KB </span>","children":null,"spread":false},{"title":"train_idx-10.txt <span style='color:#111;'> 5.61KB </span>","children":null,"spread":false},{"title":"train_idx-6.txt <span style='color:#111;'> 5.61KB </span>","children":null,"spread":false},{"title":"train_idx-2.txt <span style='color:#111;'> 5.61KB </span>","children":null,"spread":false},{"title":"train_idx-3.txt <span style='color:#111;'> 5.61KB </span>","children":null,"spread":false},{"title":"train_idx-5.txt <span style='color:#111;'> 5.60KB </span>","children":null,"spread":false},{"title":"train_idx-9.txt <span style='color:#111;'> 4.21KB </span>","children":null,"spread":false},{"title":"train_idx-6.txt <span style='color:#111;'> 4.21KB </span>","children":null,"spread":false},{"title":"train_idx-3.txt <span style='color:#111;'> 4.21KB </span>","children":null,"spread":false},{"title":"train_idx-1.txt <span style='color:#111;'> 4.21KB </span>","children":null,"spread":false},{"title":"train_idx-4.txt <span style='color:#111;'> 4.21KB </span>","children":null,"spread":false},{"title":"train_idx-5.txt <span style='color:#111;'> 4.21KB </span>","children":null,"spread":false},{"title":"......","children":null,"spread":false},{"title":"<span style='color:steelblue;'>文件过多，未全部展示</span>","children":null,"spread":false}],"spread":true}]
评论信息
其他资源
- 标准的Tornado项目结构
- 基于单片机的的智能药盒的设计
- 肺部CT图像分割及重建系统
- 适合大部分视频格式的so文件
- 研旭DSP开发例程
- 将dicom格式转换为bmp格式图片
- 利用SPSS拟合非线性回归模型
- matlab实现图像去噪
- 山东大学操作系统nachos课程设计
- Gephi-0.9.1 windows版本
- MFC下利用OPENCV添加显示图片
- NDIR气体测控系统中关键问题的分析与设计
- 怎样做出优秀扁平化设计风格
- 粤省事移动政务服务平台 第 6 部分：安全规范.rar
- XP,window2000,unix操作系统安装全集
- C++编写的Socket通信程序源代码
- CISSP 2018年全真英文回忆题.pdf
- 2019全球及中国体育消费产业分析报告.pdf
- spark-3.0.1-bin-hadoop2.7.tgz
- 2019上半年网工下午真题.pdf
- 数据库期末复习资料期末复习资料
- MATLAB电力系统设计与分析
- 论文研究-基于模糊聚类分析的客户分类算法研究.pdf
- Google book Downloader 谷歌电子书PDF下载工具 最新版
- SCI写作资料合集
免责申明
【只为小站】的资源来自网友分享，仅供学习研究，请务必在下载后24小时内给予删除，不得用于其他任何用途，否则后果自负。基于互联网的特殊性，【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查；无论 【只为小站】 经营者是否已进行审查，用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明
本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明