1. N-gcn: Multi-scale graph convolution for semi-supervised node classification;S Abu-El-Haija;uncertainty in artificial intelligence,2020
2. Feature selection and extraction for graph neural networks;D B Acharya;Proceedings of the 2020 ACM Southeast Conference,2020
3. Classbalanced loss based on effective number of samples;Y Cui;Proceedings of the IEEE/CVF conference on computer vision and pattern recognition,2019
4. Geometric smote a geometrically enhanced drop-in replacement for smote;G Douzas;Information sciences,2019
5. Handling imbalanced data in road crash severity prediction by machine learning algorithms;N Fiorentini;Infrastructures,2020