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Hello! I am trying to use the tool with the SPC measure, but the incremental methods are not implemented in SANA.cpp. Is there a way to maximize the SPC measure without changing the source code? There was also an assert(false) in the distance matrix computation in Graph.cpp but i found a way around that (By implementing Dijkstra as the comment suggested and using openmp to speed it up).
The text was updated successfully, but these errors were encountered:
Short answer: no, the code needs to change.
Long answer: To operate efficiently, SANA needs a way to "incrementally"
update the value of the objective function whenever we randomly change the
alignment. If you've pre-computed all-pairs shortest paths on the two input
networks, then the question is: when we re-align one (or two) nodes from G1
to new places in G2, how does the shortest path difference change? We
couldn't figure out how to do it efficiently, so we left it undone. If you
can figure out a way in pseudo-code to update the shortest path difference
for both the Change and Swap operations, I can probably find a student to
implement it. But it would take time, and we'd probably need to talk
through it by voice.
Hello! I am trying to use the tool with the SPC measure, but the incremental methods are not implemented in SANA.cpp. Is there a way to maximize the SPC measure without changing the source code? There was also an
assert(false)
in the distance matrix computation inGraph.cpp
but i found a way around that (By implementing Dijkstra as the comment suggested and using openmp to speed it up).The text was updated successfully, but these errors were encountered: