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main.py
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main.py
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import argparse
from trainer import Trainer
from utils.dataset.DatasetDownloader import download_and_extract
import pickle as pkl
import os
from os import path
dataset_dict = {
'large': {
'url':'https://researchlab.blob.core.windows.net/datasets/LiveStream%20Datasets/LiveStream-16K.zip',
'path':'data_large',
'zip_file': 'dataset.zip',
'extract_folder':'edgelists'
},
'medium': {
'url':'https://researchlab.blob.core.windows.net/datasets/LiveStream%20Datasets/LiveStream-6K.zip',
'path':'data_medium',
'zip_file': 'dataset.zip',
'extract_folder':'edgelists'
},
'small': {
'url':'https://researchlab.blob.core.windows.net/datasets/LiveStream%20Datasets/LiveStream-4K.zip',
'path':'data_small',
'zip_file': 'dataset.zip',
'extract_folder':'edgelists'
}
}
def start_exp(args):
trainer = Trainer(dataset_dict[args.dataset])
results = trainer.train_model(args)
if not path.exists('results'):
os.mkdir('results')
f = open("results/" +
'dataset_' + str(args.dataset) +
'_graph_' + str(args.start_graph) +
'_emb_' + str(args.emb) +
'_window_' + str(args.window) +
'.pkl', "wb")
pkl.dump(results, f)
f.close()
if __name__ == '__main__':
parser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('--dataset', type=str, default='small',
help='Dataset File Name')
parser.add_argument('--start_graph', type=int, default=0, help="Starting graph")
parser.add_argument('--end_graph', type=int, default=7, help="Ending graph")
parser.add_argument('--num_exp', type=int, default=1, help="Number of experiments")
parser.add_argument('--emb', type=int, default=64, help="Embedding size")
parser.add_argument('--dropout', type=float, default=0., help="Dropout")
parser.add_argument('--learning_rate', type=float, default=0.001, help="Learning rate")
parser.add_argument('--ns', type=int, default=1, help="Number of negative samples")
parser.add_argument('--window', type=int, default=2, help="Window for evolution")
parser.add_argument('--cuda', type=int, default=0, help="CUDA SUPPORT (0=FALSE/1=TRUE)")
args = parser.parse_args()
if args.window < 1:
args.window = 1
download_and_extract(dataset_dict[args.dataset])
start_exp(args)