Kaggle Data Challenge project for course: Machine learning with kernel methods-MASH,MVA(J-P Vert,M Arbel)
Graph classification Kaggle Challenge :https://www.kaggle.com/competitions/data-challenge-kernel-methods-2022-2023
Removing the frequent least discriminant subgraphs while keeping the most discriminant frequent subgraphs using gSPAN algorithm.
Run Reconstruct.py
Computing the Weisfeiler-Lehman Kernel matrix with Computekernel.py on the Reconstructed Training set and the test set
Reducing the dimensionality of the Kernel matrix using KernelFDA and RBF kernel
Performing classification using Kernel Support Vector machine
Run Classification.py
Implementation of the following paper : Graph classification based on graph set reconstruction and graph kernel feature reduction Author:Tinghuai Ma a b, Wenye Shao a, Yongsheng Hao a, Jie Cao c