Source code for gammagl.models.appnp
import tensorlayerx as tlx
from gammagl.layers.conv import APPNPConv
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class APPNPModel(tlx.nn.Module):
"""
Approximate personalized propagation of neural predictions
"""
def __init__(self, feature_dim, num_class, iter_K,
alpha, drop_rate, name=None):
super().__init__(name=name)
self.conv = APPNPConv(feature_dim, num_class, iter_K, alpha, drop_rate)
[docs]
def forward(self, x, edge_index, edge_weight, num_nodes):
x = self.conv(x, edge_index, edge_weight, num_nodes)
return x