most citedRetGK: Graph Kernels based on Return Probabilities of Random Walks

37 citations · 49 across the 3 of their papers we have counts for

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cs.LG2019★ 9 cited

KerGM: Kernelized Graph Matching

Zhen Zhang, Yijian Xiang, Lingfei Wu +2

Graph matching plays a central role in such fields as computer vision, pattern recognition, and bioinformatics. Graph matching problems can be cast as two types of quadratic assign…

cs.LG2019★ 3 cited

Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding

Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang +5

Graph kernels are widely used for measuring the similarity between graphs. Many existing graph kernels, which focus on local patterns within graphs rather than their global propert…