DeepHypergraph
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iMoonLab
A pytorch library for graph and hypergraph computation.
大型图的处理
当处理图级的超图分类问题，如果每个超图的节点和超边数量较多，batch加速处理对邻接矩阵进行类似dgl.batch的拼接方式时，似乎并不支持很大的batch_size，如何优化？或者在计算速度和显存之间取舍？
你好，你们的工作让我受益良多，我目前有两类数据（每个样本都具有该两类数据），计算了它们之间的相关性从而得到了网络结构，想使用你们提供的DHG来实现一个整图分类的工作，但是目前好像只提供了节点分类的功能，请问有什么便捷的方法能让我快速实现该想法？非常感谢。
https://deephypergraph.readthedocs.io/en/latest/zh/tutorial/structure.html#zh-build-graph 这里应该是团扩展吧，我看英文文档这里是 clique expansion
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How to transform a igraph or networkx object into hypergraph object used in DHG?
