9 citations · 12 across the 2 of their papers we have counts for
3 papers
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…
stat.ML2018
RetGK: Graph Kernels based on Return Probabilities of Random Walks
Zhen Zhang, Mianzhi Wang, Yijian Xiang +2
Graph-structured data arise in wide applications, such as computer vision, bioinformatics, and social networks. Quantifying similarities among graphs is a fundamental problem. In t…