Issues
- 1
大型图的处理
#40 opened - 6
- 4
Pip installation error
#60 opened by dtchang - 1
How to use batchsize for hypergraph
#59 opened by A1198482817a - 5
pip install dhg时出现error:'The 'sklearn' PyPI package is deprecated, use 'scikit-learn' rather than 'sklearn' for pip commands.'
#55 opened by sds0810 - 5
如何利用DHG实现整图分类任务
#30 opened by Li025 - 0
e_weight不满足断言
#62 opened by unccx - 0
Has DHG been abandoned?
#61 opened by dtchang - 1
Nested hypergraph
#58 opened by dtchang - 3
About Directed Hypergraph
#31 opened by innocentius - 2
How to get a directed hypergraph
#47 opened by whyydsforever - 0
- 0
关于超图子图的接口实现
#54 opened by talence-zcq - 3
- 0
关于UniGCN在计算超边的度的平均值,这是否是一个bug
#50 opened by HPUtx813 - 0
Can we generate a corresponding hypergraph dataset based on a real-world GNN graph embedding dataset?
#53 opened by zlwu92 - 1
- 0
超图实现具有不同超边权重的超图卷积模型
#49 opened by wpx-1 - 0
Didn't concat node's vector with hyperedge's vector before computing the attention of UniGATConv
#46 opened by ShangGuanShiHu - 2
adaptive fusion和coequal fusion的文档问题
#32 opened by Rechiard - 0
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)
#43 opened by FuYou0723 - 0
如何获取训练后节点的向量?
#42 opened by jackchenwen - 1
- 0
- 2
- 2
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。
#37 opened by Longwt123 - 1
CoauthorshipCora dataset label error
#36 opened by TuDou-PK - 2
Unable to install dhg using pip
#35 opened by flash-barry - 0
- 0
How to use HGNN+ for RL
#33 opened by FernandezR - 4
Node classification on multiple hypergraphs
#20 opened by AbdeslemSmahi - 11
超图的顶点度矩阵D_v
#25 opened by liuzhh1998 - 2
推荐系统指标部分出现nan,可能是由于除0导致的
#17 opened by jiishy - 2
BUG: dhg.Hypergraph.from_feature_kNN() need .detach() for input feature tensor
#19 opened by realxuyang - 9
Dataset: Coauthor network from DBLP
#21 opened by mgao97 - 4
超图如何采集负样本?
#28 opened by yw155 - 2
hypergraph.e2v_aggregation_of_group方法出错
#22 opened by tsubasa0425 - 4
- 1
- 13
关于稠密图数据用于训练
#12 opened by Conor-heming - 3
- 4
- 1
Can the k in top-k recall (retrieval evaluator) set to a ratio of samples instead of a fixed int?
#14 opened by realxuyang - 1
- 2
I am wondering if the tutorial is still going to be added? It seems like been a year for this repo.
#2 opened by RussellXie7 - 1
Is this still updated?
#3 opened by HeLongHuang - 4
The issue in segmentation
#4 opened by FeiyangWu6 - 1
Optuna version 1.10 is not exist
#7 opened by mamintoosi