Attributed graph similarity from the quantum Jensen-Shannon divergence

Luca Rossi, Andrea Torsello, Edwin R. Hancock

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

7 Citations (Scopus)


One of the most fundamental problem that we face in the graph domain is that of establishing the similarity, or alternatively the distance, between graphs. In this paper, we address the problem of measuring the similarity between attributed graphs. In particular, we propose a novel way to measure the similarity through the evolution of a continuous-time quantum walk. Given a pair of graphs, we create a derived structure whose degree of symmetry is maximum when the original graphs are isomorphic, and where a subset of the edges is labeled with the similarity between the respective nodes. With this compositional structure to hand, we compute the density operators of the quantum systems representing the evolution of two suitably defined quantum walks. We define the similarity between the two original graphs as the quantum Jensen-Shannon divergence between these two density operators, and then we show how to build a novel kernel on attributed graphs based on the proposed similarity measure. We perform an extensive experimental evaluation both on synthetic and real-world data, which shows the effectiveness the proposed approach.

Original languageEnglish
Title of host publicationSimilarity-Based Pattern Recognition - Second International Workshop, SIMBAD 2013, Proceedings
Number of pages15
Publication statusPublished - Jul 2013
Externally publishedYes
Event2nd International Workshop on Similarity-Based Pattern Analysis and Recognition, SIMBAD 2013 - York, United Kingdom
Duration: 3 Jul 20135 Jul 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7953 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference2nd International Workshop on Similarity-Based Pattern Analysis and Recognition, SIMBAD 2013
Country/TerritoryUnited Kingdom


  • Continuous-Time Quantum Walk
  • Graph Kernel
  • Graph Similarity
  • Quantum Jensen-Shannon Divergence

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


Dive into the research topics of 'Attributed graph similarity from the quantum Jensen-Shannon divergence'. Together they form a unique fingerprint.

Cite this