Iterative Local Global Filtering Algorithm (ILGF), p.89 ,
Querying massive graph data: A compress and search approach, Future Generation Computer Systems, vol.74, pp.63-75, 2017. ,
DOI : 10.1016/j.future.2017.04.005
URL : https://hal.archives-ouvertes.fr/hal-01546073
Subgraph Isomorphism Search in Massive Graph Databases, Proceedings of the International Conference on Internet of Things and Big Data, p.1313922 ,
DOI : 10.5220/0005875002040213
URL : https://hal.archives-ouvertes.fr/hal-01313922
Querying Massive Graph Data: a Compress and Search Approach Best Presentation Award, High Quality Journals Forum, 2017. ,
DOI : 10.1016/j.future.2017.04.005
Compact Neighborhood Index for Subgraph Queries in Massive Graphs. A preliminarily version is available in Arxiv https ,
Towards compressing Web graphs, Proceedings DCC 2001. Data Compression Conference, 2001. ,
DOI : 10.1109/DCC.2001.917151
URL : https://dash.harvard.edu/bitstream/handle/1/24829611/tr-08-00.pdf?sequence=1
The Transitive Reduction of a Directed Graph, SIAM Journal on Computing, vol.1, issue.2, pp.131-137, 1972. ,
DOI : 10.1137/0201008
Template based semantic similarity for security applications, International Conference on Intelligence and Security Informatics, pp.621-622, 2005. ,
Inexact Graph Matching Using Estimation of Distribution Algorithms, 2002. ,
Efficient Subgraph Matching by Postponing Cartesian Products, Proceedings of the 2016 International Conference on Management of Data, SIGMOD '16, pp.1199-1214, 2016. ,
DOI : 10.1145/1353343.1353369
Efficient Subgraph Matching by Postponing Cartesian Products, Proceedings of the 2016 International Conference on Management of Data, SIGMOD '16, pp.1199-1214, 2016. ,
DOI : 10.1145/1353343.1353369
The webgraph framework I, Proceedings of the 13th conference on World Wide Web , WWW '04, pp.595-602, 2004. ,
DOI : 10.1145/988672.988752
A subgraph isomorphism algorithm and its application to biochemical data, BMC Bioinformatics, vol.14, issue.Suppl 7, p.2013 ,
DOI : 10.1093/nar/gkq973
URL : https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/1471-2105-14-S7-S13?site=bmcbioinformatics.biomedcentral.com
Path Queries on Compressed XML, Proceedings of the 29th International Conference on Very Large Data Bases, pp.141-152, 2003. ,
DOI : 10.1016/B978-012722442-8/50021-5
URL : http://www.dbai.tuwien.ac.at/staff/koch/download/vldb2003_bgk.pdf
Graph decompositions and factorizing permutations, Proceedings of the Fifth Israeli Symposium on Theory of Computing and Systems, pp.55-70, 2002. ,
DOI : 10.1109/ISTCS.1997.595165
URL : https://hal.archives-ouvertes.fr/hal-00958972
Mining graph patterns efficiently via randomized summaries, Proc. VLDB Endow, pp.742-753, 2009. ,
DOI : 10.14778/1687627.1687711
THIRTY YEARS OF GRAPH MATCHING IN PATTERN RECOGNITION, International Journal of Pattern Recognition and Artificial Intelligence, vol.31, issue.03, pp.265-298, 2004. ,
DOI : 10.1109/3477.956043
URL : https://hal.archives-ouvertes.fr/hal-01408706
Performance evaluation of the vf graph matching algorithm, Image Analysis and Processing Proceedings. International Conference on, pp.1172-1177, 1999. ,
Querying Big Data: Bridging Theory and Practice, Journal of Computer Science and Technology, vol.26, issue.6, pp.849-869, 2014. ,
DOI : 10.1016/j.tcs.2013.11.002
Query preserving graph compression, Proceedings of the 2012 international conference on Management of Data, SIGMOD '12, pp.157-168 ,
DOI : 10.1145/2213836.2213855
Transitiv orientierbare Graphen, Acta Mathematica Academiae Scientiarum Hungaricae, vol.51, issue.1-2, pp.25-66, 1967. ,
DOI : 10.4153/CJM-1964-055-5
Transitiv orientierbare Graphen, Acta Mathematica Academiae Scientiarum Hungaricae, vol.51, issue.1-2, pp.25-66, 1967. ,
DOI : 10.4153/CJM-1964-055-5
Computers and Intractability: A Guide to the Theory of NP-Completeness Tmods-integrated fusion dashboardapplying fusion of fusion systems to counter-terrorism, Proc. International Conference on Intelligence Analysis, 1979. ,
A survey of the algorithmic aspects of modular decomposition, Computer Science Review, vol.4, issue.1, pp.41-59, 2010. ,
DOI : 10.1016/j.cosrev.2010.01.001
A simple lineartime modular decomposition algorithm for graphs, Scandinavian Workshop on Algorithm Theory -SWAT, pp.187-198, 2004. ,
DOI : 10.1007/978-3-540-27810-8_17
URL : https://hal.archives-ouvertes.fr/hal-00159601
Turboiso: Towards Ultrafast and Robust Subgraph Isomorphism Search in Large Graph Databases, Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data, SIGMOD '13, pp.337-348, 2013. ,
Turboiso: Towards ultrafast and robust subgraph isomorphism search in large graph databases, Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data, SIGMOD '13, pp.337-348, 2013. ,
Graphs-at-a-time, Proceedings of the 2008 ACM SIGMOD international conference on Management of data , SIGMOD '08, pp.405-418, 2008. ,
DOI : 10.1145/1376616.1376660
Graphs-at-a-time, Proceedings of the 2008 ACM SIGMOD international conference on Management of data , SIGMOD '08, pp.405-418, 2008. ,
DOI : 10.1145/1376616.1376660
An algorithm for finding a minimal equivalent graph of a digraph, J. ACM, vol.22, issue.1, pp.11-16, 1975. ,
Fg-index: Towards verification-free query processing on graph databases, 2013. ,
Estimating the efficiency of backtrack programs, Mathematics of computation, vol.29, issue.129, pp.122-136, 1975. ,
An efficient exact algorithm for triangle listing in large graphs, Data Mining and Knowledge Discovery, vol.39, issue.1???3, pp.1-20, 2016. ,
DOI : 10.1145/1557019.1557111
URL : https://hal.archives-ouvertes.fr/hal-01475515
A distance measure for large graphs based on prime graphs, Pattern Recognition, vol.47, issue.9, pp.2993-3005, 2014. ,
DOI : 10.1016/j.patcog.2014.03.014
URL : https://hal.archives-ouvertes.fr/hal-01271721
An in-depth comparison of subgraph isomorphism algorithms in graph databases, Proceedings of the VLDB Endowment, pp.133-144, 2012. ,
DOI : 10.14778/2535568.2448946
An in-depth comparison of subgraph isomorphism algorithms in graph databases, Proceedings of the 39th international conference on Very Large Data Bases, PVLDB'13, pp.133-144, 2013. ,
DOI : 10.14778/2535568.2448946
Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters, Internet Mathematics, vol.6, issue.1, pp.29-12329, 2009. ,
DOI : 10.1080/15427951.2009.10129177
Predicting positive and negative links in online social networks, Proceedings of the 19th international conference on World wide web, WWW '10, pp.641-650, 2010. ,
DOI : 10.1145/1772690.1772756
URL : http://www.cs.cornell.edu/Info/People/kleinber/www10-signed.pdf
Graphs over time, Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining , KDD '05, pp.177-187, 2005. ,
DOI : 10.1145/1081870.1081893
Neighbor query friendly compression of social networks, Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '10, pp.533-542, 2010. ,
DOI : 10.1145/1835804.1835873
Practical graph isomorphism, II. CoRR, abs/1301.1493, 2013. REFERENCES [39] Ryan Boyd William Lyon Michael Hunger. Rdbms graphs: Sql vs. cypher query languages. https, 2015. ,
Querying massive graph data: A compress and search approach, Future Generation Computer Systems, vol.74, pp.63-75, 2017. ,
DOI : 10.1016/j.future.2017.04.005
URL : https://hal.archives-ouvertes.fr/hal-01546073
A (sub)graph isomorphism algorithm for matching large graphs, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.10, pp.1367-1372, 2004. ,
DOI : 10.1109/TPAMI.2004.75
The Link Database: fast access to graphs of the Web, Proceedings DCC 2002. Data Compression Conference, pp.122-131, 2002. ,
DOI : 10.1109/DCC.2002.999950
Exploiting vertex relationships in speeding up subgraph isomorphism over large graphs, Proc. VLDB Endow, pp.617-628, 2015. ,
DOI : 10.14778/2735479.2735493
URL : http://www.vldb.org/pvldb/vol8/p617-ren.pdf
Comparison issues in large graphs: State of the art and future directions, 1502. ,
Taming verification hardness, Proceedings of the VLDB Endowment, vol.1, issue.1, pp.364-375, 2008. ,
DOI : 10.14778/1453856.1453899
Taming verification hardness, Proceedings of the VLDB Endowment, vol.1, issue.1, pp.364-375, 2008. ,
DOI : 10.14778/1453856.1453899
Efficient subgraph matching on billion node graphs, Proceedings of the VLDB Endowment, vol.5, issue.9, pp.788-799, 2012. ,
DOI : 10.14778/2311906.2311907
URL : http://vldb.org/pvldb/vol5/p788_zhaosun_vldb2012.pdf
Data analysis in public social networks, International Scientific Conference and International Workshop Present Day Trends of Innovations, 2012. ,
An Algorithm for Subgraph Isomorphism, Journal of the ACM, vol.23, issue.1, pp.31-42, 1976. ,
DOI : 10.1145/321921.321925
URL : http://www.cs.bgu.ac.il/~dinitz/Course/SS-12/Ullman_Algorithm.pdf
A memory efficient reachability data structure through bit vector compression, Proceedings of the 2011 ACM SIGMOD International Conference on Management of Data, pp.913-924, 2011. ,
Graph indexing, Proceedings of the 2004 ACM SIGMOD international conference on Management of data , SIGMOD '04, pp.335-346, 2004. ,
DOI : 10.1145/1007568.1007607
Defining and evaluating network communities based on ground-truth, Knowledge and Information Systems, vol.393, issue.3, pp.181-213, 2015. ,
DOI : 10.1145/2501654.2501657
Graph summarization: A survey, ACM Computing Surveys, 2017. ,
Computer scientist claims to have solved the graph isomorphism problem. https : / / phys . org / news / 2015-11-scientist-graph-isomorphism-problem, 2016. ,
GADDI, Proceedings of the 12th International Conference on Extending Database Technology Advances in Database Technology, EDBT '09, pp.192-203, 2009. ,
DOI : 10.1145/1516360.1516384
GADDI, Proceedings of the 12th International Conference on Extending Database Technology Advances in Database Technology, EDBT '09, pp.192-203, 2009. ,
DOI : 10.1145/1516360.1516384
On graph query optimization in large networks, Proc. VLDB Endow, pp.340-351, 2010. ,
DOI : 10.14778/1920841.1920887
URL : http://www.comp.nus.edu.sg/%7Evldb2010/proceedings/files/papers/R30.pdf
On graph query optimization in large networks, Proceedings of the VLDB Endowment, vol.3, issue.1-2, pp.340-351, 2010. ,
DOI : 10.14778/1920841.1920887
URL : http://www.comp.nus.edu.sg/%7Evldb2010/proceedings/files/papers/R30.pdf
Graph indexing: Tree + delta graph, Proceedings of the 33rd International Conference on Very Large Data Bases, VLDB '07, pp.938-949, 2007. ,
Efficient Graph Similarity Joins with Edit Distance Constraints, 2012 IEEE 28th International Conference on Data Engineering, pp.1-5, 2012. ,
DOI : 10.1109/ICDE.2012.91
URL : http://www.cse.unsw.edu.au/~weiw/files/ICDE12-GraphEdJoin-Final.pdf
Treespan Efficiently computing similarity all-matching, Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data, SIGMOD '12, pp.529-540 ,
A novel spectral coding in a large graph database, Proceedings of the 11th international conference on Extending database technology Advances in database technology, EDBT '08, pp.181-192, 2008. ,
DOI : 10.1145/1353343.1353369