New translations synthesized_graphs_num_nl.py (Chinese Simplified)

lang/zh/gklearn/experiments/papers/PRL_2020/synthesized_graphs_num_nl.py

@@ -0,0 +1,64 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Created on Mon Sep 21 10:34:26 2020
+
+@author: ljia
+"""
+from utils import Graph_Kernel_List_VSym, compute_graph_kernel
+import logging
+
+
+def generate_graphs(num_nl_alp):
+	from gklearn.utils.graph_synthesizer import GraphSynthesizer
+	gsyzer = GraphSynthesizer()
+	graphs = gsyzer.unified_graphs(num_graphs=100, num_nodes=20, num_edges=40, num_node_labels=num_nl_alp, num_edge_labels=0, seed=None, directed=False)
+	return graphs
+
+
+def xp_synthesied_graphs_num_node_label_alphabet():
+		
+	# Run and save.
+	import pickle
+	import os
+	save_dir = 'outputs/synthesized_graphs_num_node_label_alphabet/'
+	if not os.path.exists(save_dir):
+		os.makedirs(save_dir)
+
+	run_times = {}
+	
+	for kernel_name in Graph_Kernel_List_VSym:
+		print()
+		print('Kernel:', kernel_name)
+		
+		run_times[kernel_name] = []
+		for num_nl_alp in [0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20]:
+			print()
+			print('Number of node label alphabet:', num_nl_alp)
+			
+			# Generate graphs.
+			graphs = generate_graphs(num_nl_alp)
+
+			# Compute Gram matrix.
+			run_time = 'error'
+			try:
+				gram_matrix, run_time = compute_graph_kernel(graphs, kernel_name, n_jobs=1)
+			except Exception as exp:
+				run_times[kernel_name].append('error')
+				print('An exception occured when running this experiment:')
+				LOG_FILENAME = save_dir + 'error.txt'
+				logging.basicConfig(filename=LOG_FILENAME, level=logging.DEBUG)
+				logging.exception('')
+				print(repr(exp))
+			run_times[kernel_name].append(run_time)
+			
+			pickle.dump(run_time, open(save_dir + 'run_time.' + kernel_name + '.' + str(num_nl_alp) + '.pkl', 'wb'))
+		
+	# Save all.	
+	pickle.dump(run_times, open(save_dir + 'run_times.pkl', 'wb'))	
+	
+	return
+
+
+if __name__ == '__main__':
+	xp_synthesied_graphs_num_node_label_alphabet()