Tested under Ubuntu 14.04 and Mac OSX 10.10.5
Download and install cuda from https://developer.nvidia.com/cuda-toolkit
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1404/x86_64/cuda-repo-ubuntu1404_7.5-18_amd64.deb
sudo dpkg -i cuda-repo-ubuntu1404_7.5-18_amd64.deb
sudo apt-get update
sudo apt-get install cuda
in .bashrc, add the following path
export CUDA_HOME=/usr/local/cuda
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=/usr/local/lib:$LD_LIBRARY_PATH
in .bashrc, add the following path
source {path_to_your_intel_root/name_of_parallel_tool_box}/bin/psxevars.sh
export MKL_ROOT={path_to_your_intel_root}/mkl
check https://github.com/cppformat/cppformat for help
wget http://www.ece.cmu.edu/~spiral/software/spiral-wht-1.8.tgz
tar -zxvf spiral-wht-1.8.tgz
cd spiral-wht-1.8
./configure
make
make install
cp make_common.example make_common
modify configurations in make_common file
make
cd examples/mnist
make
./run_exp.sh
cd examples/graph_classification
make
./local_run.sh
The 5 datasets under the data/ folder are commonly used in graph kernel.
@article{dai2016discriminative,
title={Discriminative Embeddings of Latent Variable Models for Structured Data},
author={Dai, Hanjun and Dai, Bo and Song, Le},
journal={arXiv preprint arXiv:1603.05629},
year={2016}
}
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent