Comments (2)
Related Issues (20)
- Dataset: Coauthor network from DBLP HOT 9
- hypergraph.e2v_aggregation_of_group方法出错 HOT 2
- kindly need help to for several reproduction results HOT 2
- 超图的顶点度矩阵D_v HOT 11
- 超图如何采集负样本? HOT 4
- How to transform a igraph or networkx object into hypergraph? HOT 5
- 如何利用DHG实现整图分类任务 HOT 4
- About Directed Hypergraph HOT 1
- How to use HGNN+ for RL
- mini-batches training for node classification on hypergraph
- Unable to install dhg using pip HOT 2
- CoauthorshipCora dataset label error HOT 1
- 请帮忙看一下画图代码draw_hypergraph()的参数无法调整如v_line_width和e_line_width,限制输入的格式错了,修改也没变化。 HOT 2
- 我针对你的超图写了个邻接矩阵的接口,想请老哥帮忙看看写的对不对?我自己也做了个些测试,输出的挺对,你介意合并不? HOT 2
- 中文文档有误
- 大型图的处理
- torch.topk 函数设置 largest=False 是为了找到最小的距离,即最近的邻居。这种方法可能比转换张量为 numpy 数组并使用 scipy.spatial.cKDTree 更有效,因为它避免了 CPU 和 GPU 之间的数据传输。 HOT 1
- 如何获取训练后节点的向量?
- e_weight=None,agg='softmax' 时Graph类v2v中x=torch.sparse.mm(P,dim=1)应该是x=torch.sparse.softmax(P,dim=1)
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