Hi,

Thanks for the sharing of the library. I am puzzled when I use the NeighborSampler on huge graph.

If I set the batch size as 1, and set the expand_factor as 30, and neighbor_type as ‘in’, I expect that **all the neighbors should be extracted if the node’s in-degree is less than 30**. However, I get the following results:

Id , Sample size, predecessors generated by function predecessors(), in-degree

**|6250|torch.Size([5])|torch.Size([7])|7|**

|—|---|—|---|

|6251|torch.Size([15])|torch.Size([15])|15|

|6252|torch.Size([2])|torch.Size([2])|2|

|6253|torch.Size([7])|torch.Size([7])|7|

|6254|torch.Size([1])|torch.Size([1])|1|

|6255|torch.Size([3])|torch.Size([3])|3|

**|6256|torch.Size([10])|torch.Size([12])|12|**

**|6257|torch.Size([10])|torch.Size([14])|14|**

**|6258|torch.Size([12])|torch.Size([13])|13|**

|6259|torch.Size([3])|torch.Size([3])|3|

**|6260|torch.Size([9])|torch.Size([11])|11|**

We can get that for some nodes, the number of sampled neighbors is smaller than the in-degree although the expand_factor is set as 30 (larger than the number of neighbors).

Can you check this or give an explanation about this phenomenon?

Thanks for your time and help.