ce597a0b10658043b6d6d8ffed3fff4a6ebbc1ea,stellargraph/layer/ppnp.py,PPNP,__init__,#PPNP#Any#Any#Any#Any#Any#Any#Any#,51

Before Change

        Aadj = generator.Aadj.todense()

        // propagation matrix is non-sparse : create and store at initalization to save time
        propogation_matrix = self.transport_probability * np.linalg.inv(np.eye(Aadj.shape[0]) -
                                                                  (1 - self.transport_probability) * Aadj)
        propogation_matrix = tf.convert_to_tensor(propogation_matrix, tf.float32)

        self._layers.append(Dropout(self.dropout))
        self._layers.append(Lambda(lambda x: K.dot(propogation_matrix, x[0, :])))

After Change

            raise TypeError("Generator should be a instance of FullBatchNodeGenerator")

        if not len(layer_sizes) == len(activations):
            raise ValueError("The number of layers should equal the number of activations")

        self.layer_sizes = layer_sizes
        self.transport_probability = transport_probability
        self.activations = activations

Instances