Fraud detection framework combining GAN oversampling with heterogeneous GNNs to tackle class imbalance. (IEEE ICASSP 2024)
-
Updated
Dec 12, 2025 - Python
#
imbalance-dataset
Here are 3 public repositories matching this topic...
python jupyter-notebook data-transformation feature-selection scratch feature-scaling information-gain adasyn imbalance-dataset min-max-normalization
-
Updated
Aug 21, 2020 - Jupyter Notebook
This repository contains a collection of Jupyter Notebook files for various feature engineering techniques, including missing value handling, encoding, transformation, imbalanced dataset, and outlier detection. Each notebook provides practical examples of methods for handling the corresponding problem.
-
Updated
May 7, 2023 - Jupyter Notebook
Add this topic to your repo
To associate your repository with the imbalance-dataset topic, visit your repo's landing page and select "manage topics."