The Utils

A lightweight utility library for deep learning and graph-based research workflows — including configuration management, visualization, file I/O, model saving/loading, and evaluation utilities.

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🚀 Installation

Requirements

• Python ≥ 3.8
• PyTorch ≥ 1.12

Install via pip:

python -m pip install the_utils

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💡 Usage

For detailed documentation, see the_utils_docs.

Example:

from the_utils import evaluate_from_embed_file
from the_utils import save_to_csv_files

method_name='orderedgnn'
data_name='texas'

clustering_res, classification_res = evaluate_from_embed_file(
    f'{data_name}_{method_name}_embeds.pth',
    f'{data_name}_data.pth',
    save_path='./save/',
)

insert_info = {'data': data_name, 'method': method_name,}
save_to_csv_files(clustering_res, insert_info, 'clutering.csv')
save_to_csv_files(classification_res, insert_info, 'classification.csv')

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⚙️ Requirements

Dependencies are listed in:

• requirements.txt
• requirements-dev.txt
• pyproject.toml (see dependencies)

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🤝 Contributing

We welcome contributions of any kind — bug fixes, enhancements, or new utilities. Please refer to the CONTRIBUTING.md for setup instructions and guidelines.