gnn_3
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+4
-4
@@ -19,8 +19,8 @@ class Smoother(tf.keras.Model):
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self.conv1 = GCNConv(64, activation='tanh', use_bias=False)
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self.conv2 = GCNConv(64, activation='tanh', use_bias=False)
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self.conv3 = GCNConv(64, activation='tanh', use_bias=False)
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self.conv4 = GCNConv(64, activation='tanh', use_bias=False)
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self.conv5 = GCNConv(64, activation='tanh', use_bias=False)
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# self.conv4 = GCNConv(64, activation='tanh', use_bias=False)
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# self.conv5 = GCNConv(64, activation='tanh', use_bias=False)
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self.conv6 = GCNConv(3, activation='tanh', use_bias=False)
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def call(self, inputs, training=None):
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@@ -28,8 +28,8 @@ class Smoother(tf.keras.Model):
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x = self.conv1([x, self.a], training=training)
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x = self.conv2([x, self.a], training=training)
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x = self.conv3([x, self.a], training=training)
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x = self.conv4([x, self.a], training=training)
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x = self.conv5([x, self.a], training=training)
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# x = self.conv4([x, self.a], training=training)
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# x = self.conv5([x, self.a], training=training)
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x = self.conv6([x, self.a], training=training)
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return x
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