AKBR: Learning Adaptive Kernel-based Representations for Graph Classification

Feifei Qian, Lixin Cui, Ming Li +6

In this paper, we propose a new model to learn Adaptive Kernel-based Representations (AKBR) for graph classification. Unlike state-of-the-art R-convolution graph kernels that are d…