Efficient Computation of Mean Truncated Hitting Times on Very Large Graphs
Data Structures and Algorithms
2013-04-17 v1 Artificial Intelligence
Abstract
Previous work has shown the effectiveness of random walk hitting times as a measure of dissimilarity in a variety of graph-based learning problems such as collaborative filtering, query suggestion or finding paraphrases. However, application of hitting times has been limited to small datasets because of computational restrictions. This paper develops a new approximation algorithm with which hitting times can be computed on very large, disk-resident graphs, making their application possible to problems which were previously out of reach. This will potentially benefit a range of large-scale problems.
Keywords
Cite
@article{arxiv.1304.4371,
title = {Efficient Computation of Mean Truncated Hitting Times on Very Large Graphs},
author = {Joel Lang and James Henderson},
journal= {arXiv preprint arXiv:1304.4371},
year = {2013}
}