2 Commits
Author SHA1 Message Date
luni 53bfbabcd7 gnn_4 2023-02-24 21:32:02 +00:00
luni 9a74c476a6 gnn_3 2023-02-24 21:31:37 +00:00
+7 -7
View File
@@ -16,11 +16,11 @@ class Smoother(tf.keras.Model):
def __init__(self, ):
super().__init__()
self.a = sp_matrix_to_sp_tensor(sio.loadmat("custom_utils/ssmpl0.mat")['L'].tocoo())
self.conv1 = GCNConv(64, activation='tanh', use_bias=False)
self.conv2 = GCNConv(64, activation='tanh', use_bias=False)
self.conv3 = GCNConv(64, activation='tanh', use_bias=False)
self.conv4 = GCNConv(64, activation='tanh', use_bias=False)
self.conv5 = GCNConv(64, activation='tanh', use_bias=False)
self.conv1 = GCNConv(3, activation='tanh', use_bias=False)
self.conv2 = GCNConv(3, activation='tanh', use_bias=False)
self.conv3 = GCNConv(3, activation='tanh', use_bias=False)
# self.conv4 = GCNConv(64, activation='tanh', use_bias=False)
# self.conv5 = GCNConv(64, activation='tanh', use_bias=False)
self.conv6 = GCNConv(3, activation='tanh', use_bias=False)
def call(self, inputs, training=None):
@@ -28,8 +28,8 @@ class Smoother(tf.keras.Model):
x = self.conv1([x, self.a], training=training)
x = self.conv2([x, self.a], training=training)
x = self.conv3([x, self.a], training=training)
x = self.conv4([x, self.a], training=training)
x = self.conv5([x, self.a], training=training)
# x = self.conv4([x, self.a], training=training)
# x = self.conv5([x, self.a], training=training)
x = self.conv6([x, self.a], training=training)
return x