def METHOD_NAME(A: SparseMatrix, B: SparseMatrix) -> SparseMatrix:
    """Elementwise addition
    Parameters
    ----------
    A : SparseMatrix
        Sparse matrix
    B : SparseMatrix
        Sparse matrix
    Returns
    -------
    SparseMatrix
        Sparse matrix
    Examples
    --------
    >>> indices = torch.tensor([[1, 0, 2], [0, 3, 2]])
    >>> val = torch.tensor([10, 20, 30])
    >>> A = dglsp.spmatrix(indices, val, shape=(3, 4))
    >>> A + A
    SparseMatrix(indices=tensor([[0, 1, 2],
                                 [3, 0, 2]]),
                 values=tensor([40, 20, 60]),
                 shape=(3, 4), nnz=3)
    """
    # Python falls back to B.__radd__ then TypeError when NotImplemented is
    # returned.
    return spsp_add(A, B) if isinstance(B, SparseMatrix) else NotImplemented