Hi, given an instance of gt.PartitionModeState obtained from multiple instances of gt.BlockState, is it possible to obtain the maximum marginal group memberships without passing a graph?
When the PMS is nested, it’s possible to obtain the hierarchy with gt.PartitionModeState.get_max_nested() that does not require arguments and returns np.ndarrays. Conversely, the non nested case needs the graph to return a VertexPropertyMap (gt.PartitionModeState.get_max(g)). Is there a way to return the memberships as np.ndarray without specifying the graph?