def CalculateVertexEdgeHistKernel(G, par=-1.0):
# Extract graph info
E, V_label, V_count, E_count, D_max = GetGKInput(G)
par = gkCpy.DoubleVector([par])
K = gkCpy.CalculateKernelPy(E, V_label, V_count, E_count, D_max, par, 3)
return K
def CalculateEdgeHistGaussKernel(G, par=1):
# Extract graph info
E, V_label, V_count, E_count, D_max = GetGKInput(G)
par = gkCpy.DoubleVector([par])
K = gkCpy.CalculateKernelPy(E, V_label, V_count, E_count, D_max, par, 5)
return K
def CalculateExponentialRandomWalkKernel(G, par=1):
# Extract graph info
E, V_label, V_count, E_count, D_max = GetGKInput(G)
par = gkCpy.DoubleVector([par])
K = gkCpy.CalculateKernelPy(E, V_label, V_count, E_count, D_max, par, 9)
return K
def CalculateWLKernel(G, par=5):
# Extract graph info
E, V_label, V_count, E_count, D_max = GetGKInput(G)
#par = nuber of WL iterations
par = int(par)
K = gkCpy.WLKernelMatrix(E, V_label, V_count, E_count, D_max, par)
return K
def CalculateKStepRandomWalkKernel(G, par=1):
# Extract graph info
E, V_label, V_count, E_count, D_max = GetGKInput(G)
if isinstance(par, (int, long, float, complex)):
par = gkCpy.DoubleVector([par])
else:
par = gkCpy.DoubleVector(par)
K = gkCpy.CalculateKernelPy(E, V_label, V_count, E_count, D_max, par, 10)
return K