GraphPaper
1. DDGK Al-Rfou R, Perozzi B, Zelle D. Ddgk: Learning graph representations for deep divergence graph kernels[C]//The World Wide Web Conference. 2019: 37-48. end-to-end supervised graph classification: learn a intermediate representation of an entire graph as precondition in order to solve the classification task; graph representation learning: feature engineering: graph’s clustering coefficient, its motif distribution,its spectral decomposition , limited to composing only known graph encode algorithmic heuristics from graph isomorphism