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Romain Vuillemot | Angela Bonifati | Stefania Dumbrava | Amaia Nazabal Ruiz Diaz | A. Bonifati | Romain Vuillemot | Stefania Dumbrava | A. Diaz
[1] Danai Koutra,et al. Graph Summarization Methods and Applications , 2016, ACM Comput. Surv..
[2] Jignesh M. Patel,et al. Efficient aggregation for graph summarization , 2008, SIGMOD Conference.
[3] Juan Sequeda,et al. G-CORE: A Core for Future Graph Query Languages , 2017, SIGMOD Conference.
[4] Ben Shneiderman,et al. Designing Semantic Substrates for Visual Network Exploration , 2007, Inf. Vis..
[5] Peter T. Wood,et al. Query languages for graph databases , 2012, SGMD.
[6] Viswanath Poosala,et al. Congressional samples for approximate answering of group-by queries , 2000, SIGMOD '00.
[7] M. Tamer Özsu,et al. Diversified Stress Testing of RDF Data Management Systems , 2014, SEMWEB.
[8] Yang Xiang,et al. Computing label-constraint reachability in graph databases , 2010, SIGMOD Conference.
[9] Wim Martens,et al. An analytical study of large SPARQL query logs , 2017, VLDB 2017.
[10] Xin Wang,et al. Query preserving graph compression , 2012, SIGMOD Conference.
[11] Diego Calvanese,et al. Rewriting of regular expressions and regular path queries , 1999, PODS '99.
[12] Marcelo Arenas,et al. Foundations of Modern Query Languages for Graph Databases , 2016, ACM Comput. Surv..
[13] Hassan Chafi,et al. The LDBC Social Network Benchmark: Interactive Workload , 2015, SIGMOD Conference.
[14] Jianzhong Li,et al. Adding regular expressions to graph reachability and pattern queries , 2011, ICDE 2011.
[15] Qing Chen,et al. Graph Stream Summarization: From Big Bang to Big Crunch , 2016, SIGMOD Conference.
[16] Helen J. Wang,et al. Online aggregation , 1997, SIGMOD '97.
[17] Alberto O. Mendelzon,et al. A graphical query language supporting recursion , 1987, SIGMOD '87.
[18] Chris Jermaine,et al. Scalable approximate query processing with the DBO engine , 2007, SIGMOD '07.
[19] L. Toledo-Pereyra. Trust , 2006, Mediation Behaviour.
[20] Amine Mhedhbi,et al. The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing , 2017 .
[21] Sourav S. Bhowmick,et al. Summarizing Static and Dynamic Big Graphs , 2017, Proc. VLDB Endow..
[22] Leslie G. Valiant,et al. The Complexity of Enumeration and Reliability Problems , 1979, SIAM J. Comput..
[23] Carsten Binnig,et al. Revisiting Reuse for Approximate Query Processing , 2017, Proc. VLDB Endow..
[24] Alberto O. Mendelzon,et al. GraphLog: a visual formalism for real life recursion , 1990, PODS '90.
[25] Ion Stoica,et al. G-OLA: Generalized On-Line Aggregation for Interactive Analysis on Big Data , 2015, SIGMOD Conference.
[26] Scott Shenker,et al. Bridging the GAP: towards approximate graph analytics , 2018, GRADES/NDA@SIGMOD/PODS.
[27] Sungpack Hong,et al. PGQL: a property graph query language , 2016, GRADES '16.
[28] Renzo Angles,et al. The Property Graph Database Model , 2018, AMW.
[29] Peter A. Boncz,et al. An early look at the LDBC social network benchmark's business intelligence workload , 2018, GRADES/NDA@SIGMOD/PODS.
[30] Jignesh M. Patel,et al. Discovery-driven graph summarization , 2010, 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010).
[31] Jan van Leeuwen,et al. Maintenance of Transitive Closures and Transitive Reductions of Graphs , 1987, WG.
[32] Yinghui Wu,et al. Summarizing Answer Graphs Induced by Keyword Queries , 2013, Proc. VLDB Endow..
[33] David S. Johnson,et al. Computers and Intractability: A Guide to the Theory of NP-Completeness , 1978 .
[34] Jean-Daniel Fekete,et al. Overlaying Graph Links on Treemaps , 2003 .
[35] Jian Pei,et al. AQP++: Connecting Approximate Query Processing With Aggregate Precomputation for Interactive Analytics , 2018, SIGMOD Conference.
[36] Ion Stoica,et al. BlinkDB: queries with bounded errors and bounded response times on very large data , 2012, EuroSys '13.
[37] George H. L. Fletcher,et al. Querying Graphs , 2018, Querying Graphs.
[38] Bolin Ding,et al. Trust, but Verify: Optimistic Visualizations of Approximate Queries for Exploring Big Data , 2017, CHI.
[39] Wolfgang Lehner,et al. SynopSys: Foundations for Multidimensional Graph Analytics , 2014, BIRTE.
[40] Boris Motik,et al. Estimating the Cardinality of Conjunctive Queries over RDF Data Using Graph Summarisation , 2018, WWW.
[41] George H. L. Fletcher,et al. gMark: Schema-Driven Generation of Graphs and Queries , 2015, IEEE Transactions on Knowledge and Data Engineering.
[42] Ion Stoica,et al. ZipG: A Memory-efficient Graph Store for Interactive Queries , 2017, SIGMOD Conference.
[43] Markus Krötzsch,et al. Getting the Most Out of Wikidata: Semantic Technology Usage in Wikipedia's Knowledge Graph , 2018, SEMWEB.
[44] Srikanth Kandula,et al. Approximate Query Processing: No Silver Bullet , 2017, SIGMOD Conference.