pylibwholegraph.torch.wholegraph_ops.unweighted_sample_without_replacement#

pylibwholegraph.torch.wholegraph_ops.unweighted_sample_without_replacement(
wm_csr_row_ptr_tensor: PyWholeMemoryTensor,
wm_csr_col_ptr_tensor: PyWholeMemoryTensor,
center_nodes_tensor: Tensor,
max_sample_count: int,
random_seed: int | None = None,
need_center_local_output: bool = False,
need_edge_output: bool = False,
)#

Unweighted neighborhood sample in CSR WholeGraph