Code for Pseudo-Riemannian Graph Convolutional Networks
收藏DataCite Commons2024-12-10 更新2024-07-13 收录
下载链接:
https://darus.uni-stuttgart.de/citation?persistentId=doi:10.18419/darus-4340
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资源简介:
<p>This dataset is the official implementation of Pseudo-Riemannian Graph Convolutional Networks in PyTorch, based on <a href="https://github.com/HazyResearch/hgcn">HGCN implementation</a>. </p>
<p>This code is used to reproduce the experiments of the paper. Datasets are provided in the /data directly. To execute the code, follow the instructions in the <a href="https://darus.uni-stuttgart.de/file.xhtml?fileId=300076">README.md</a> file. </p>
<p>For more info, please check the paper or feel free to contact the authors for any inquiries. <p>
提供机构:
DaRUS
创建时间:
2024-07-02



