59266e34e076ed25852bccf5ce13025b5408406f,stellargraph/layer/gcn.py,GCN,__call__,#GCN#Any#,262

Before Change

            Output tensor
        
        H = x[0]
        extra_in = x[1:]

        for layer in self._layers:
            if isinstance(layer, GraphConvolution):
                // It is a GCN layer add the extra inputs

After Change

        // Otherwise, create dense matrix from input tensor
        else:
            Ainput = Lambda(lambda A: K.squeeze(A, 0))(As[0])

        // Remove singleton batch dimension
        h_layer = x_in
        for layer in self._layers:

Instances