English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We address the correspondence search problem among multiple graphs withcomplex properties while considering the matching consistency. We describe eachpair of graphs by combining multiple attributes, then jointly match them in aunified framework. The main contribution of this paper is twofold. First, weformulate the global correspondence search problem of multi-attributed graphsby utilizing a set of multi-layer structures. The proposed formulationdescribes each pair of graphs as a multi-layer structure, and jointly considerswhole matching pairs. Second, we propose a robust multiple graph matchingmethod based on the multi-layer random walks framework. The proposed frameworksynchronizes movements of random walkers, and leads them to consistent matchingcandidates. In our extensive experiments, the proposed method exhibits robustand accurate performance over the state-of-the-art multiple graph matchingalgorithms.

Consistent Multiple Graph Matching with Multi-layer Random Walks Synchronization