3f4645918db9298486dcd7190ba74bb3a8a84591,examples/pytorch/appnp/appnp.py,APPNP,forward,#APPNP#Any#,45

Before Change

    def forward(self, features):
        // prediction step
        h = features
        if self.dropout:
            h = self.dropout(h)
        h = self.activation(self.layers[0](h))
        for layer in self.layers[1:-1]:
            h = self.activation(layer(h))
        if self.dropout:

After Change

            h = self.activation(layer(h))
        h = self.layers[-1](self.feat_drop(h))
        // propagation step
        h = self.propagate(h)
        return h

Instances