PyGOD¶
Provides over ten outlier detection algorithms over graph data, following the API design of PyOD.
Logo |
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Website |
N/A |
Repository |
|
Byline |
A Python Library for Graph Outlier Detection (Anomaly Detection) |
License |
BSD |
Project age |
0 years 4 months |
Backers |
PyGod Team (Creator and maintainer) |
Lastest News (2022-04-30) |
v0.2.0 Our paper is available on arXiv. We enable most of the models to train with minbatch, see model list for supported models. … more |
Size score (1 to 10, higher is better) |
1.75 |
Trend score (1 to 10, higher is better) |
8.75 |
Education Resources¶
URL |
Resource Type |
Description |
---|---|---|
Documentation |
Official project documentation. |
|
Paper |
Paper available on ArXiv. |
Git Commit Statistics¶
Statistics computed using Git data through March 31, 2022.
Statistic |
Lifetime |
Last 12 Months |
---|---|---|
Commits |
224 |
224 |
Lines committed |
42,840 |
42,840 |
Unique committers |
10 |
10 |
Core committers |
9 |
9 |

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