Re: [graph-tool] Latent Poisson questions

2020-04-15 Thread Tiago de Paula Peixoto
Am 16.04.20 um 02:54 schrieb Deklan Webster: > I, totally by accident, think I discovered the issue! In the process of > setting up the testing between the reconstructive method, get_edges_prob > method, and the simple stacked topological similarity classifier I > accidentally set the graph to undi

Re: [graph-tool] Latent Poisson questions

2020-04-15 Thread Deklan Webster
Err, I meant, of course: ``` Directed : ~13/1000 correctly identified Undirected: 488/1000 correctly identified ``` On Wed, Apr 15, 2020 at 8:54 PM Deklan Webster wrote: > I, totally by accident, think I discovered the issue! In the process of > setting up the testing between the reconstructive

Re: [graph-tool] Latent Poisson questions

2020-04-15 Thread Deklan Webster
I, totally by accident, think I discovered the issue! In the process of setting up the testing between the reconstructive method, get_edges_prob method, and the simple stacked topological similarity classifier I accidentally set the graph to undirected without setting it back to directed. The resu

Re: [graph-tool] efficient random sampling of paths between two nodes

2020-04-15 Thread Tiago de Paula Peixoto
Am 15.04.20 um 10:42 schrieb Franco Peschiera: > I now would like to test giving edges a weight in order for that > |cutoff| argument to use it. I know the |shortest_distance| function > accepts weights of edges in order to do Dijkstra. Could the same be done > with |all_paths| such that the search

[graph-tool] efficient random sampling of paths between two nodes

2020-04-15 Thread Franco Peschiera
Hello again Tiago, First of all thanks for the resources and help. As you may expect, I somewhat lack a specialized background in graph theory and so I sometimes miss the correct terminology. As a reminder, this is a DAG. I haven’t, yet, implemented the random unbiased generator version of all_pa