From 6e1372e8fab83e5f27c5198f06ad8f0f1d1d36bf Mon Sep 17 00:00:00 2001 From: jajupmochi Date: Mon, 14 Dec 2020 10:43:33 +0100 Subject: [PATCH] Update: Check if all graphs have edge(s) in ShorestPath. --- gklearn/kernels/shortest_path.py | 14 +++++++++++++- 1 file changed, 13 insertions(+), 1 deletion(-) diff --git a/gklearn/kernels/shortest_path.py b/gklearn/kernels/shortest_path.py index 3a29423..9e553a3 100644 --- a/gklearn/kernels/shortest_path.py +++ b/gklearn/kernels/shortest_path.py @@ -17,6 +17,7 @@ from itertools import product from multiprocessing import Pool from tqdm import tqdm import numpy as np +import networkx as nx from gklearn.utils.parallel import parallel_gm, parallel_me from gklearn.utils.utils import getSPGraph from gklearn.kernels import GraphKernel @@ -35,6 +36,7 @@ class ShortestPath(GraphKernel): def _compute_gm_series(self): + self._all_graphs_have_edges(self._graphs) # get shortest path graph of each graph. if self._verbose >= 2: iterator = tqdm(self._graphs, desc='getting sp graphs', file=sys.stdout) @@ -60,6 +62,7 @@ class ShortestPath(GraphKernel): def _compute_gm_imap_unordered(self): + self._all_graphs_have_edges(self._graphs) # get shortest path graph of each graph. pool = Pool(self._n_jobs) get_sp_graphs_fun = self._wrapper_get_sp_graphs @@ -92,6 +95,7 @@ class ShortestPath(GraphKernel): def _compute_kernel_list_series(self, g1, g_list): + self._all_graphs_have_edges([g1] + g_list) # get shortest path graphs of g1 and each graph in g_list. g1 = getSPGraph(g1, edge_weight=self._edge_weight) if self._verbose >= 2: @@ -114,6 +118,7 @@ class ShortestPath(GraphKernel): def _compute_kernel_list_imap_unordered(self, g1, g_list): + self._all_graphs_have_edges([g1] + g_list) # get shortest path graphs of g1 and each graph in g_list. g1 = getSPGraph(g1, edge_weight=self._edge_weight) pool = Pool(self._n_jobs) @@ -156,6 +161,7 @@ class ShortestPath(GraphKernel): def _compute_single_kernel_series(self, g1, g2): + self._all_graphs_have_edges([g1] + [g2]) g1 = getSPGraph(g1, edge_weight=self._edge_weight) g2 = getSPGraph(g2, edge_weight=self._edge_weight) kernel = self._sp_do(g1, g2) @@ -327,4 +333,10 @@ class ShortestPath(GraphKernel): def _wrapper_sp_do(self, itr): i = itr[0] j = itr[1] - return i, j, self._sp_do(G_gs[i], G_gs[j]) \ No newline at end of file + return i, j, self._sp_do(G_gs[i], G_gs[j]) + + + def _all_graphs_have_edges(self, graphs): + for G in graphs: + if nx.number_of_edges(G) == 0: + raise ValueError('Not all graphs have edges!!!') \ No newline at end of file