# -*- coding: utf-8 -*-
#
# Copyright 2019-2020 Data61, CSIRO
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from tensorflow.keras import backend as K
from tensorflow.keras import activations, initializers, constraints, regularizers
from tensorflow.keras.layers import Input, Layer, Lambda, Dropout, Reshape
from .misc import deprecated_model_function, GatherIndices
from ..mapper import ClusterNodeGenerator
from .gcn import GraphConvolution, GCN
import warnings
[docs]class ClusterGraphConvolution(GraphConvolution):
"""
Deprecated: use :class:`.GraphConvolution`.
"""
def __init__(self, *args, **kwargs):
warnings.warn(
"ClusterGraphConvolution has been replaced by GraphConvolution without functionality change",
DeprecationWarning,
stacklevel=2,
)
super().__init__(*args, **kwargs)
[docs]class ClusterGCN(GCN):
"""
Deprecated: use :class:`stellargraph.layer.GCN` with :class:`stellargraph.mapper.ClusterNodeGenerator`.
"""
def __init__(
self,
# the parameter order is slightly different between this and GCN, so the *args,
# **kwargs trick doesn't work
layer_sizes,
activations,
generator,
bias=True,
dropout=0.0,
kernel_initializer="glorot_uniform",
kernel_regularizer=None,
kernel_constraint=None,
bias_initializer="zeros",
bias_regularizer=None,
bias_constraint=None,
):
warnings.warn(
"ClusterGCN has been replaced by GCN with little functionality change (the GCN class removes the batch dimension in some cases)",
DeprecationWarning,
stacklevel=2,
)
super().__init__(
layer_sizes=layer_sizes,
generator=generator,
bias=bias,
dropout=dropout,
activations=activations,
kernel_initializer=kernel_initializer,
kernel_regularizer=kernel_regularizer,
kernel_constraint=kernel_constraint,
bias_initializer=bias_initializer,
bias_regularizer=bias_regularizer,
bias_constraint=bias_constraint,
# for compatibility
squeeze_output_batch=False,
)
