if __name__ == '__main__': args = parse_args() args.lr = eval(args.lr) args.path = './data/' + args.dataset + '/' args.user_dataset = args.path + 'userRating' args.group_dataset = args.path + 'groupRating' args.user_in_group_path = "./data/" + args.dataset + "/groupMember.txt" print('args', args) # initial helper helper = Helper() # get the dict of users in group g_m_d = helper.gen_group_member_dict(args.user_in_group_path) # initial dataSet class dataset = GDataset(args.user_dataset, args.group_dataset, args.num_negatives, g_m_d) # get group number num_group = max(g_m_d.keys()) + 1 num_users, num_items = dataset.num_users, dataset.num_items # print('num_users',num_users) # build AGREE model agree = AGREE(num_users, num_items, num_group, args.embedding_size, g_m_d, args.drop_ratio).to(device) # config information print("AGREE at embedding size %d, run Iteration:%d" % (args.embedding_size, args.epoch))