首页数学
0


图形表征通过少原路路径

Graph Characterization via Backtrackless paths
课程网址: http://videolectures.net/simbad2011_wilson_backtrackless/  
主讲教师: Richard Wilson
开课单位: 约克大学
开课时间: 2011-10-17
课程语种: 英语
中文简介:
图上的随机游动被广泛地用于图的表征。标记图之间的正核最近被提出。本文利用无回溯路径来度量图之间的相似度。我们介绍了一种有效的标记图和未标记图的特征化算法。首先,我们展示了如何基于标记图的无回溯路径定义有效的内核。其次,我们展示了如何使用由不同长度的无轨迹路径组成的模式向量来描述无标记图。然后将所提出的方法应用于标记图和未标记图。
课程简介: Random walks on graphs have been extensively used for graph characterization. Positive kernels between labeled graphs have been proposed recently. In this paper we use backtrackless paths for gauging the similarity between graphs. We introduce efficient algorithms for characterizing both labeled and unlabeled graphs. First we show how to define efficient kernels based on backtrackless paths for labeled graphs. Second we show how the pattern vectors composed of backtrackless paths of different lengths can be use to characterize unlabeled graphs. The proposed methods are then applied to both labeled and unlabeled graphs.
关 键 词: 数学; 图论; 热内核
课程来源: 视频讲座网公开课
最后编审: 2020-06-09:liqy
阅读次数: 32