We study the properties of conformal prediction for network data under
v...
An important problem in network analysis is predicting a node attribute ...
We consider the problem of quantifying uncertainty for the estimation er...
Subgraph counts play a central role in both graph limit theory and netwo...
We study the properties of a leave-node-out jackknife procedure for netw...
We establish a general theory for subsampling network data generated by ...
We consider the problem of inference after model selection under weak
as...
We consider the problem of finding confidence intervals for the risk of
...