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From: | Mark Galea |
Subject: | Re: [igraph] Maximum Common Subgraph |
Date: | Fri, 11 Mar 2011 15:43:38 +0000 |
from igraph import GraphBase;
from igraph import Graph;
class IsomorphicTest(object):
def test(self):
g = Graph.Formula("A-B-D-E")
g2 = Graph.Formula("B-C")
all_names = set(g.vs["name"]).union(g2.vs["name"])
names_to_colors = dict((v, k) for k, v in enumerate(all_names))
print all_names
print names_to_colors
print "========================================"
colors1 = [names_to_colors[name] for name in g.vs["name"]]
print g.vs["name"]
print colors1
print "========================================"
colors2 = [names_to_colors[name] for name in g2.vs["name"]]
print g2.vs["name"]
print colors2
print "========================================"
print g.get_subisomorphisms_vf2(g2)
print g.get_subisomorphisms_vf2(g2, colors1, colors2)
if __name__ == '__main__':
IsomorphicTest().test()
===============================================================
This is the output.
set(['A', 'C', 'B', 'E', 'D'])
{'A': 0, 'C': 1, 'B': 2, 'E': 3, 'D': 4}
========================================
['A', 'B', 'D', 'E']
[0, 2, 4, 3]
========================================
['B', 'C']
[2, 1]
========================================
[[0, 1], [1, 0], [1, 2], [2, 1], [2, 3], [3, 2]]
[]
Clearly we are expecting to find the mapping [1,0] Referring to the mapping B from the first graph to B onto the second graph. Am I missing something.
Thanks a lot for your time.
Cheers
Mark
Hi Tamas,Thanks a lot for your response.Hopefully everything will work :) Thanks for the updates example. Will wait for the build.Thanks a lot mate. Much appreciated.Regards,MarkOn Fri, Mar 11, 2011 at 2:56 PM, Tamas Nepusz <address@hidden> wrote:
Yes, beacuse the two versions (0.5 and 0.6) are binary incompatible; i.e. there were a few updates in the C layer that require the recompilation of the Python interface as well.
I am slightly confused what the new build will do. Does this also update the python bindings I am already using?You don't need GraphBase; Graph derives from GraphBase and the latter is an internal thing anyway :)
I have provided an example so that I'm sure that I am understanding what I should do exactly.
This is my test case.
------------------------------------------------------------------------------------------------------------from igraph import GraphBase;
Also, there is one other modification that you have to do; get_subisomorphisms_vf2 does not start using the vertex names "magically", it requires a numeric vector where each element specifies the "color" (or "label") of the corresponding vertex. You have to construct that mapping from names to numeric IDs yourself, and then pass the vectors mapping vertices to "colors" to get_subisomorphisms_vf2. I'll try to adapt your example:
def test(self):
g = Graph.Formula("A-B-D")g2 = Graph.Formula("B-D")all_names = set(g.vs["name"]).union(g2.vs["name"])
names_to_colors = dict((v, k) for k, v in enumerate(all_names))
colors1 = [names_to_colors[name] for name in g.vs["name"]]
colors2 = [names_to_colors[name] for name in g2.vs["name"]]
print g.get_subisomorphisms_vf2(g2, colors1, colors2)
This one prints "[[1, 2]]" for me; I think this is the correct result as vertex 0 of the second graph maps to vertex 1 of the first one and vertex 1 of the second graph maps to vertex 2 of the first one, and there is no other mapping, right?
I'll prepare a Snow Leopard installer for you in the evening or tomorrow, when time allows.
Cheers,
--
Tamas
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