This repository aggregates important papers on graph classification methods including matrix factorization, spectral fingerprints, graph kernels, and deep graph learning approaches. It covers implementations of graph embedding techniques such as DeepWalk, Node2Vec, Graph2Vec, graph attention networks, and graph convolutional networks. The collection serves as a reference resource for researchers and practitioners working with graph-structured data in machine learning.