flowbench.unsupervised

Module contents

Unsupervised learning benchmark methods for anomaly detection.

Author: PoSeiDon Team License: MIT

flowbench.unsupervised.list_models()

List of models from pyod.models.

Returns:

List of models.

Return type:

list

flowbench.unsupervised.pygod module

Unsupervised learning benchmark methods for anomaly detection. Methods are imported from PyGOD.

We will use the same models from pyod.models and their default parameters. For detailed information about the models, please refer to the documentation of pyod.detector.

Citation:
@article{liu2022bond,

title={Bond: Benchmarking unsupervised outlier node detection on static attributed graphs}, author={Liu, Kay and Dou, Yingtong and Zhao, Yue and Ding, Xueying and Hu, Xiyang and Zhang, Ruitong and Ding, Kaize and Chen, Canyu and Peng, Hao and Shu, Kai and Sun, Lichao and Li, Jundong and Chen, George H. and Jia, Zhihao and Yu, Philip S.}, journal={Advances in Neural Information Processing Systems}, volume={35}, pages={27021–27035}, year={2022}

}

For more information, please refer to https://docs.pygod.org/en/latest/.

License: MIT

flowbench.unsupervised.pygod.list_pygod()

List of models from pygod.detector.

Returns:

List of models.

Return type:

list

flowbench.unsupervised.pyod module

Unsupervised learning benchmark methods for anomaly detection. Methods are imported from PyOD.

We will use the same models from pyod.models and their default parameters. For detailed information about the models, please refer to the documentation of pyod.models.

Citation:
@article{PyOD2019,

author = {Zhao, Yue}, title = {PyOD: A Python Toolbox for Scalable Outlier Detection}, year = {2019}, publisher = {Journal of Machine Learning Research}, journal = {JMLR}, volume = {20}, number = {96}, pages = {1-7}, url = {http://jmlr.org/papers/v20/19-011.html},

}

For more information, please refer to https://pyod.readthedocs.io/.

License: MIT

flowbench.unsupervised.pyod.list_pyod()

List of models from pyod.models.

Returns:

List of models.

Return type:

list