4 citations · 7 across the 2 of their papers we have counts for
2 papers
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…
cs.LG2012★ 4 cited
Fast Graph Construction Using Auction Algorithm
Jun Wang, Yinglong Xia
In practical machine learning systems, graph based data representation has been widely used in various learning paradigms, ranging from unsupervised clustering to supervised classi…