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I have a question about the implementation of the paper. Diffusion convolution expressed in Eq.(2) is not found in the code. I only find ChebNet convolution in dcrnn_cell.py as followed:
for support in self._supports:
x1 = tf.sparse_tensor_dense_matmul(support, x0)
x = self._concat(x, x1)
for k in range(2, self._max_diffusion_step + 1):
x2 = 2 * tf.sparse_tensor_dense_matmul(support, x1) - x0
x = self._concat(x, x2)
x1, x0 = x2, x1
The paper pointed out that ChebNet is only for undirected graphs. So I wonder how to deal with directed graphs with ChebNet convolution. Or what important details am I missing? Could you kindly help me understand the codes?
The text was updated successfully, but these errors were encountered:
I have a question about the implementation of the paper. Diffusion convolution expressed in Eq.(2) is not found in the code. I only find ChebNet convolution in dcrnn_cell.py as followed:
The paper pointed out that ChebNet is only for undirected graphs. So I wonder how to deal with directed graphs with ChebNet convolution. Or what important details am I missing? Could you kindly help me understand the codes?
The text was updated successfully, but these errors were encountered: