问题描述：
按照教程一步步装好了 PyGOD，用到的命令如下所示（我的环境：PyTorch1.8.1 + CUDA11.1）：
pip list nvidia-smi nvcc --version pip install networkx pip install scikit-learn==0.23.1 pip install torch-scatter==2.0.8 -f https://pytorch-geometric.com/whl/torch-1.8.1+cu111.html pip install torch-cluster==1.5.9 -f https://pytorch-geometric.com/whl/torch-1.8.1+cu111.html pip install torch-sparse==0.6.10 -f https://pytorch-geometric.com/whl/torch-1.8.1+cu111.html pip install torch-spline-conv==1.2.1 -f https://pytorch-geometric.com/whl/torch-1.8.1+cu111.html pip install torch-geometric -f https://pytorch-geometric.com/whl/torch-1.8.1+cu111.html pip install --upgrade pygod -i http://pypi.douban.com/simple --trusted-host pypi.douban.com
然而，运行代码测试图异常检测时，报错如下：
from pygod.utils import load_data
data = load_data('inj_cora')
data.y = data.y.bool()
from pygod.models import DOMINANT
model = DOMINANT()
model.fit(data)
...... Runtimeerror: No such operator torch_sparse::hetero_neighbor_sample ......
分析觉得是 torch_sparse 版本的问题，卸载后重新安装 0.6.12 版本解决了问题：
pip uninstall torch-sparse pip install torch-sparse==0.6.12 -f https://pytorch-geometric.com/whl/torch-1.8.1+cu111.html
References：
- Github Issues Is PyTorch 1.7.1 and cuda 9.2 able to use neighbor_sample?#179
- PyGOD 0.3.0 document Installation
- PyGOD Github 页面
- pytorch-geometric 安装教程
- PyTorch与PyTorch Geometric的安装
- pytorch-geometric.com whl匹配版本
