Summary: 25 instances, 25 unique

Text	Count
# TODO: C++ interface should not be exposed, so install as _ParallelSampler?	1
# TODO: handle python sampler	1
while num_roots_eval < num_roots_budget:     # TODO: replace with budget check	1
# TODO merge the classes of Subgraph and OneBatchSubgraph	1
# TODO: can make F_ACT a @dataclass	1
# TODO: unify config and common_config	1
TODO: support graph classification.	1
# TODO: there seems to be one more dropout here?	1
# TODO: set label_epoch for node task as well.	1
# TODO use valedge as input, then concat undirected valedges to be excluded in neg sample	1
breakpoint()        # TODO: bug here. should have 1/n = 1/|V_sub| factor	1
# TODO store subgraph profiling data	1
node_set: Optional[Dict[Any, Union[np.ndarray, torch.tensor]]]     # TODO: merge node_set and edge_set into a single entity_set	1
// TODO in ensemble, even if you cannot drop indices, you can still drop top_ppr_*	1
# TODO: set tensor dtype by torch.get_default_dtype	1
if is_found_m:      # TODO: symb link to calculated ppr files, check fname_*	1
TODO: now only based on homogeneous graph, and thus we have a simple csr.	1
# TODO: support different sampler config in val and test	1
// NOTE TODO: right now we don't use any info from data array (we simply fill in 1. in subgraph)	1
# TODO re-structure yaml config so that pooling params become a dict	1
# TODO: may not need the fix_target and sequential_traversal arguments	1
# TODO: may move this to epoch_start reset.	1
std::vector<std::vector<PPRType>> top_ppr_scores;      // may not essentially need it   // TODO may change it to be even more compact, since we only need to preserve relative values	1
if ret_raw_idx:     # TODO: this should support ens as well. multiple subg should have the same raw target idx	1
breakpoint()       # TODO compute complexity in MLP	1