the output of SemiGNN->ViewAttention

[AllenZ01]

When computing the joint embedding of user u (i.e. Eq.4) for SemiGNN, we should concatenate the weighted embedding in every view of user u.

In our code, The matrix alpha * h (called h_tmp below) is a matrix of (view_num, node_num, self.encoding[-1]). for user 0, we ought to concatenate h_tmp[0][0], h_tmp[1][0], h_tmp[2][0], ...
Yet this line doesn't do that, since tf.reshape(...) doesn't change the overall order of the elements in matrix.
Instead we should be using the code below to implement the concatenation.
output = tf.concat([h_tmp[i] for i in range(self.view_num)], 1)
Don't know if that's right...