Comments (5)
您好,应该是版本不匹配的问题吧。需要先安装torch sparse几个包,最后再安装pytorch geometric
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pip install torch-scatter torch-sparse torch-cluster torch-spline-conv -f https://pytorch-geometric.com/whl/torch-1.9.0+cu102.html
pip install torch-geometric
我是按照这个顺序装的
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你看看这几个包的版本是否和requirement.txt里的一致,还有你安装的cuda版本,torch版本是否能对应上
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一致的然后出现了│Segmentation fault (core dumped) 的问题。不知道方不方便提供一个doker,针对这三个数据的。Citeseer这个数据我版本不一样跑出来差的太多了。
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hello, 不知道你的问题是否已经解决了。docker文件因为太大所以不方便共享。我自己测过几次也收集了其他同学的反馈,如果版本一致操作正确的话复现结果是没问题的。如果出现了问题,大概就是以下几个原因:
- 环境不一致(这个不会导致太大的偏差)
- 数据集版本不一致
- 没有按照提供的脚本使用正确的超参,或者没有使用提供的数据预处理/训练代码运行模型
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