2 papers
cs.LG2020
LCS Graph Kernel Based on Wasserstein Distance in Longest Common Subsequence Metric Space
Jianming Huang, Zhongxi Fang, Hiroyuki Kasai
For graph learning tasks, many existing methods utilize a message-passing mechanism where vertex features are updated iteratively by aggregation of neighbor information. This strat…
cs.LG2020
Graph embedding using multi-layer adjacent point merging model
Jianming Huang, Hiroyuki Kasai
For graph classification tasks, many traditional kernel methods focus on measuring the similarity between graphs. These methods have achieved great success on resolving graph isomo…