cogdl.models.nn.graphsage

Module Contents

Functions

sage_sampler(adjlist, edge_index, num_sample)

cogdl.models.nn.graphsage.sage_sampler(adjlist, edge_index, num_sample)[source]
class cogdl.models.nn.graphsage.GraphSAGELayer(in_feats, out_feats)[source]

Bases: torch.nn.Module

forward(self, x, edge_index)[source]
class cogdl.models.nn.graphsage.Graphsage(num_features, num_classes, hidden_size, num_layers, sample_size, dropout)[source]

Bases: cogdl.models.BaseModel

static add_args(parser)[source]

Add model-specific arguments to the parser.

classmethod build_model_from_args(cls, args)[source]

Build a new model instance.

sampling(self, edge_index, num_sample)[source]
forward(self, x, edge_index)[source]
loss(self, data)[source]
predict(self, data)[source]