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baseline_utils.py
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baseline_utils.py
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import matlab.engine as mateng
import matlab
import numpy as np
from scipy import io
def getNetalignScore(A, B, L, Pa, Pb):
eng = mateng.start_matlab()
# eng.saveMat(matlab.double(A.tolist()), matlab.double(B.tolist()), matlab.double(L.tolist()), s, nargout=0)
io.savemat('temp.mat', dict(A=A, B=B, L=L, Pa=Pa, Pb=Pb))
accuracy = eng.runNetalign(nargout=1)
print "netalign: " + str(accuracy)
eng.quit()
return accuracy
def getFinalScore(A, B, H, Pa, Pb, node_A = None, node_B = None):
eng = mateng.start_matlab()
if node_A is None and node_B is None:
node_A = np.ones((A.get_shape()[0], 1))
node_B = np.ones((B.get_shape()[0], 1))
else:
node_A = node_A.reshape((node_A.shape[0], 1))
if np.array_equal(node_A, Pa.dot(node_A)):
print "node_A == Pa.dot(node_A)"
node_A = Pa.dot(node_A)
node_B = node_B.reshape((node_B.shape[0], 1))
- if np.array_equal(node_B, Pa.dot(node_B)):
+ if np.array_equal(node_B, Pb.dot(node_B)):
print "node_B == Pb.dot(node_B)"
node_B = Pb.dot(node_B)
io.savemat('temp_final.mat', dict(A = A, B = B, H = H, Pa = Pa, Pb = Pb, node_A = node_A, node_B = node_B))
accuracy, ma, mb = eng.runFinal(nargout=3)
matching_matrix = getCSRMatrix(A.shape, ma, mb)
print "final: " + str(accuracy)
eng.quit()
return accuracy, matching_matrix
def getIsoRankScore(A, B, L, Pa, Pb):
eng = mateng.start_matlab()
# eng.saveMat(matlab.double(A.tolist()), matlab.double(B.tolist()), matlab.double(L.tolist()), s, nargout=0)
io.savemat('temp_iso.mat', dict(A=A, B=B, L=L, Pa=Pa, Pb=Pb))
accuracy = eng.runIsoRank(nargout=1)
print "isorank: " + str(accuracy)
eng.quit()
return accuracy