In your implementation of the BinaryTreeLSTM,


Can you explain the leaf / base condition - self.ox just passes through a linear layer, that is understandable since there is no hidden state for leafs, but why is there no weight params for input, update or forget gating, and why is cell state just passed through a linear layer?


And also for non-leaf nodes, you are completely ignoring passing the input through a linear layer, for all the gating units. Is there an explanation for that? In ChildSum, you have weight parameters for x_j, why not in n-ary lstm ?


self.ix = nn.Linear(self.in_dim,self.mem_dim)