HGNNP
- class dhg.models.HGNNP(*args, **kwargs)[source]
Bases:
torch.nn.Module
The HGNN + model proposed in HGNN+: General Hypergraph Neural Networks paper (IEEE T-PAMI 2022).
- Parameters
in_channels (
int
) – \(C_{in}\) is the number of input channels.hid_channels (
int
) – \(C_{hid}\) is the number of hidden channels.num_classes (
int
) – The Number of class of the classification task.use_bn (
bool
) – If set toTrue
, use batch normalization. Defaults toFalse
.drop_rate (
float
, optional) – Dropout ratio. Defaults to0.5
.