def predicate_object_frequency_weight():
weigher.freq_predicate_object(sub_pred_obj_dict, edge_weight_dict)
weigher.normalization(edge_weight_dict, node_dict)
generator = generate_random_walks(sub_pred_obj_dict, node_dict,
edge_weight_dict,
number_of_walks_per_resource, depth)
write_to_gz(generator)
def click_stream_weight():
weigher.click_stream_weigher(click_stream_file, edge_weight_dict)
weigher.normalization(edge_weight_dict, node_dict)
generator = generate_random_walks(sub_pred_obj_dict, node_dict,
edge_weight_dict,
number_of_walks_per_resource, depth)
write_to_gz(generator)
def uniform_weight():
# weighting and normalization
weigher.normalization(edge_weight_dict, node_dict)
generator = generate_random_walks(sub_pred_obj_dict, node_dict,
edge_weight_dict,
number_of_walks_per_resource, depth)
write_to_gz(generator)
def page_rank_split_weight():
page_rank = weigher.pagerank_dict(page_rank_file)
weigher.split_down(edge_weight_dict, page_rank, node_dict)
weigher.normalization(edge_weight_dict, node_dict)
generator = generate_random_walks(sub_pred_obj_dict, node_dict,
edge_weight_dict,
number_of_walks_per_resource, depth)
write_to_gz(generator)
def inverse_object_frequency_split_weight():
object_frequency = weigher.freq_object(sub_pred_obj_dict)
weigher.inverse_freq(object_frequency)
weigher.split_down(edge_weight_dict, object_frequency, node_dict)
weigher.normalization(edge_weight_dict, node_dict)
generator = generate_random_walks(sub_pred_obj_dict, node_dict,
edge_weight_dict,
number_of_walks_per_resource, depth)
write_to_gz(generator)