def gk_test_random_walk_sylvester():
XX = list(zip(k * [X], k * [L]))
gk = GraphKernel(kernel={
"name": "random_walk",
"lamda": 0.1,
"method_type": "sylvester"
})
gkf = gk.fit(XX)
print("Sylvester:", gkf.transform())
def gk_test_graphlets_sampling():
XX = list(zip(k * [X], k * [L]))
gk = GraphKernel(
kernel={
"name": "graphlets_sampling",
"k": 5,
"delta": 0.05,
"epsilon": 0.05,
"a": -1
})
gkf = gk.fit(XX)
print("Graphlets Sampling:", gkf.transform())
def gk_test_weisfeiler_lehman():
XX = list(zip(k * [X], k * [L]))
base_kernel = dict()
base_kernel["dirac"] = {"name": "dirac"}
base_kernel["shortest path"] = {"name": "shortest_path"}
base_kernel["subtree"] = {"name": "subtree_rg"}
for key in base_kernel.keys():
gk = GraphKernel(kernel=[{
"name": "weisfeiler_lehman",
"niter": 5
}, base_kernel[key]])
gkf = gk.fit(XX)
print("Weisfeiler_lehman - " + str(key) + ":", gkf.transform())
def gk_test_shortest_path():
XX = list(zip(k * [X], k * [L]))
gk = GraphKernel(kernel={
"name": "shortest_path",
"algorithm_type": "dijkstra"
})
gkf = gk.fit(XX)
print("Dijkstra:", gkf.transform())
gk = GraphKernel(kernel={
"name": "shortest_path",
"algorithm_type": "floyd_warshall"
})
gkf = gk.fit(XX)
print("Floyd Warshall:", gkf.transform())
gk = GraphKernel(kernel={
"name": "shortest_path",
"algorithm_type": "auto"
})
gkf = gk.fit(XX)
print("Auto:", gkf.transform())
def gk_test_subtree_rg():
XX = list(zip(k * [X], k * [L]))
gk = GraphKernel(kernel={"name": "subtree_rg", "h": 5})
gkf = gk.fit(XX)
print("Subtree [RG]:", gkf.transform())
def gk_test_dirac():
XX = list(zip(k * [X], k * [L]))
gk = GraphKernel(kernel={"name": "dirac"})
gkf = gk.fit(XX)
print("Dirac:", gkf.transform())
