default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGeorge Fletcher 0001
George H. L. Fletcher
Person information
- affiliation: Eindhoven University of Technology, Netherlands
Other persons with the same name
- George Fletcher
- George Fletcher 0002
![[0000-0002-8824-723X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-8824-723X")
— University of Bath, UK
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j32]Akrati Saxena, George Fletcher, Mykola Pechenizkiy:
FairSNA: Algorithmic Fairness in Social Network Analysis. ACM Comput. Surv. 56(8): 213:1-213:45 (2024)- [j31]Larissa Capobianco Shimomura, Nikolay Yakovets, George Fletcher:
Reasoning on property graphs with graph generating dependencies. Inf. Sci. 672: 120675 (2024) - [c94]Larissa Capobianco Shimomura, Nikolay Yakovets, George Fletcher:
Discovering Graph Generating Dependencies for Property Graph Profiling. CIKM 2024: 2067-2076 - [c93]Ewout Gelling, George Fletcher, Michael Schmidt:
Statement Graphs: Unifying the Graph Data Model Landscape. DASFAA (7) 2024: 364-376 - [c92]Willem Aerts, George Fletcher, Daphne Miedema:
A Feasibility Study on Automated SQL Exercise Generation with ChatGPT-3.5. DataEd@SIGMOD 2024 - [c91]Wilco van Leeuwen, George Fletcher, Nikolay Yakovets:
HomeRun: A Cardinality Estimation Advisor for Graph Databases. GRADES/NDA 2024: 6:1-6:9 - [i38]Larissa Capobianco Shimomura, Nikolay Yakovets, George Fletcher:
GGDMiner - Discovery of Graph Generating Dependencies for Graph Data Profiling. CoRR abs/2403.17082 (2024) - [i37]Thomas Mulder, George Fletcher, Nikolay Yakovets:
Optimizing Navigational Graph Queries. CoRR abs/2406.05417 (2024) - [i36]Kazuki Nakajima, Yuya Sasaki, Sohei Tokuno, George Fletcher:
Quantifying gendered citation imbalance in computer science conferences. CoRR abs/2408.01900 (2024) - 2023
- [j30]Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka:
GenCAT: Generating attributed graphs with controlled relationships between classes, attributes, and topology. Inf. Syst. 115: 102195 (2023) - [j29]Renzo Angles, Angela Bonifati, Stefania Dumbrava, George Fletcher, Alastair Green, Jan Hidders, Bei Li, Leonid Libkin, Victor Marsault, Wim Martens, Filip Murlak, Stefan Plantikow, Ognjen Savkovic, Michael Schmidt, Juan Sequeda, Slawek Staworko, Dominik Tomaszuk, Hannes Voigt, Domagoj Vrgoc, Mingxi Wu, Dusan Zivkovic:
PG-Schema: Schemas for Property Graphs. Proc. ACM Manag. Data 1(2): 198:1-198:25 (2023) - [j28]Angela Bonifati, Stefania Dumbrava, George Fletcher, Jan Hidders, Matthias Hofer, Wim Martens, Filip Murlak, Joshua Shinavier, Slawek Staworko, Dominik Tomaszuk:
Threshold Queries. SIGMOD Rec. 52(1): 64-73 (2023) - [j27]Wilco van Leeuwen, George Fletcher, Nikolay Yakovets:
A General Cardinality Estimation Framework for Subgraph Matching in Property Graphs. IEEE Trans. Knowl. Data Eng. 35(6): 5485-5505 (2023) - [j26]Daphne Miedema, George Fletcher, Efthimia Aivaloglou:
Expert Perspectives on Student Errors in SQL. ACM Trans. Comput. Educ. 23(1): 11:1-11:28 (2023) - [c90]Nimo Beeren, George Fletcher:
A Formal Design Framework for Practical Property Graph Schema Languages. EDBT 2023: 478-484 - [c89]Daphne Miedema, Michael Liut, George Fletcher, Efthimia Aivaloglou:
MSMI1: Towards a Validated SQL Misconceptions Instrument. ICER (2) 2023: 16-17 - [c88]Daphne Miedema, Michael Liut, George H. L. Fletcher, Efthimia Aivaloglou:
"There is no ambiguity on what to return": Investigating the Prevalence of SQL Misconceptions. Koli Calling 2023: 10:1-10:12 - [c87]Kyoungmin Kim, Jaehyun Ha, George Fletcher, Wook-Shin Han:
Guaranteeing the Õ(AGM/OUT) Runtime for Uniform Sampling and Size Estimation over Joins. PODS 2023: 113-125 - [c86]Larissa Capobianco Shimomura, George H. L. Fletcher, Nikolay Yakovets:
ProGGD - Data Profiling on Knowledge Graphs using Graph Generating Dependencies. ISWC (Posters/Demos/Industry) 2023 - [c85]Efthimia Aivaloglou, George Fletcher, Daphne Miedema:
DataEd'23 - 2nd International Workshop on Data Systems Education: Bridging Education Practice with Education Research. SIGMOD Conference Companion 2023: 313-314 - [c84]Gábor Szárnyas, Brad Bebee, Altan Birler, Alin Deutsch, George Fletcher, Henry A. Gabb, Denise Gosnell, Alastair Green, Zhihui Guo, Keith W. Hare, Jan Hidders, Alexandru Iosup, Atanas Kiryakov, Tomas Kovatchev, Xinsheng Li, Leonid Libkin, Heng Lin, Xiaojian Luo, Arnau Prat-Pérez, David Püroja, Shipeng Qi, Oskar van Rest, Benjamin A. Steer, Dávid Szakállas, Bing Tong, Jack Waudby, Mingxi Wu, Bin Yang, Wenyuan Yu, Chen Zhang, Jason Zhang, Yan Zhou, Peter A. Boncz:
The Linked Data Benchmark Council (LDBC): Driving Competition and Collaboration in the Graph Data Management Space. TPCTC 2023: 90-106 - [e9]Efthimia Aivaloglou, George Fletcher, Daphne Miedema:
Proceedings of the 2nd International Workshop on Data Systems Education: Bridging education practice with education research, DataEd 2023, Seattle, WA, USA, 23 June 2023. ACM 2023 [contents] - [e8]George Fletcher, Verena Kantere:
Proceedings of the Workshops of the EDBT/ICDT 2023 Joint Conference, Ioannina, Greece, March, 28, 2023. CEUR Workshop Proceedings 3379, CEUR-WS.org 2023 [contents] - [i35]Kyoungmin Kim, Jaehyun Ha, George Fletcher, Wook-Shin Han:
Guaranteeing the Õ(AGM/OUT) Runtime for Uniform Sampling and OUT Size Estimation over Joins. CoRR abs/2304.00715 (2023) - [i34]Ewout Gelling, George Fletcher, Michael Schmidt:
Bridging graph data models: RDF, RDF-star, and property graphs as directed acyclic graphs. CoRR abs/2304.13097 (2023) - [i33]Gábor Szárnyas, Brad Bebee, Altan Birler, Alin Deutsch, George Fletcher, Henry A. Gabb, Denise Gosnell, Alastair Green, Zhihui Guo, Keith W. Hare, Jan Hidders, Alexandru Iosup, Atanas Kiryakov, Tomas Kovatchev, Xinsheng Li, Leonid Libkin, Heng Lin, Xiaojian Luo, Arnau Prat-Pérez, David Püroja, Shipeng Qi, Oskar van Rest, Benjamin A. Steer, Dávid Szakállas, Bing Tong, Jack Waudby, Mingxi Wu, Bin Yang, Wenyuan Yu, Chen Zhang, Jason Zhang, Yan Zhou, Peter A. Boncz:
The Linked Data Benchmark Council (LDBC): Driving competition and collaboration in the graph data management space. CoRR abs/2307.04350 (2023) - 2022
- [j25]Akrati Saxena, George Fletcher, Mykola Pechenizkiy:
NodeSim: node similarity based network embedding for diverse link prediction. EPJ Data Sci. 11(1): 24 (2022) - [j24]Daphne Miedema, Efthimia Aivaloglou, George Fletcher:
Identifying SQL misconceptions of novices: findings from a think-aloud study. Inroads 13(1): 52-65 (2022) - [j23]Akrati Saxena, George Fletcher, Mykola Pechenizkiy:
HM-EIICT: Fairness-aware link prediction in complex networks using community information. J. Comb. Optim. 44(4): 2853-2870 (2022) - [j22]Angela Bonifati, Stefania Dumbrava, George Fletcher, Jan Hidders, Matthias Hofer, Wim Martens, Filip Murlak, Joshua Shinavier, Slawek Staworko, Dominik Tomaszuk:
Threshold Queries in Theory and in the Wild. Proc. VLDB Endow. 15(5): 1105-1118 (2022) - [j21]Wilco van Leeuwen, Thomas Mulder, Bram Van De Wall, George Fletcher, Nikolay Yakovets:
AvantGraph Query Processing Engine. Proc. VLDB Endow. 15(12): 3698-3701 (2022) - [j20]Efthimia Aivaloglou, George Fletcher, Michael Liut, Daphne Miedema:
Report on the First International Workshop on Data Systems Education (DataEd '22). SIGMOD Rec. 51(4): 49-53 (2022) - [c83]Hamid Shahrivari, Odysseas Papapetrou, George Fletcher:
Workload Prediction for Adaptive Approximate Query Processing. IEEE Big Data 2022: 217-222 - [c82]Stanley Clark, Nikolay Yakovets, George Fletcher, Nicola Zannone:
ReLOG: A Unified Framework for Relationship-Based Access Control over Graph Databases. DBSec 2022: 303-315 - [c81]Yuya Sasaki, George Fletcher, Makoto Onizuka:
Language-aware Indexing for Conjunctive Path Queries. ICDE 2022: 661-673 - [c80]Daphne Miedema, George Fletcher, Efthimia Aivaloglou:
So many brackets!: an analysis of how SQL learners (mis)manage complexity during query formulation. ICPC 2022: 122-132 - [c79]Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka:
GNN Transformation Framework for Improving Efficiency and Scalability. ECML/PKDD (2) 2022: 360-376 - [c78]Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka:
Benchmarking GNNs with GenCAT Workbench. ECML/PKDD (6) 2022: 607-611 - [c77]Stanley Clark, Nikolay Yakovets, George H. L. Fletcher, Nicola Zannone:
Poster: A Flexible Relationship-Based Access Control Policy Generator. SACMAT 2022: 263-265 - [c76]Efthimia Aivaloglou, George Fletcher, Daphne Miedema:
DataEd'22 - 1st International Workshop on Data Systems Education: Bridging Education Practice with Education Research. SIGMOD Conference 2022: 2556-2557 - [e7]Efthimia Aivaloglou, George Fletcher, Daphne Miedema:
Proceedings of the 1st ACM SIGMOD International Workshop on Data Systems Education: Bridging Education Practice with Education Research, DataEd@SIGMOD 2022, 17 June 2022, Philadelphia, PA, USA. ACM 2022, ISBN 978-1-4503-9350-8 [contents] - [i32]Pratik Gajane, Akrati Saxena, Maryam Tavakol, George Fletcher, Mykola Pechenizkiy:
Survey on Fair Reinforcement Learning: Theory and Practice. CoRR abs/2205.10032 (2022) - [i31]Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka:
GNN Transformation Framework for Improving Efficiency and Scalability. CoRR abs/2207.12000 (2022) - [i30]Akrati Saxena, George Fletcher, Mykola Pechenizkiy:
FairSNA: Algorithmic Fairness in Social Network Analysis. CoRR abs/2209.01678 (2022) - [i29]Larissa Capobianco Shimomura, Nikolay Yakovets, George Fletcher:
Reasoning on Property Graphs with Graph Generating Dependencies. CoRR abs/2211.00387 (2022) - [i28]Renzo Angles, Angela Bonifati, Stefania Dumbrava, George Fletcher, Alastair Green, Jan Hidders, Bei Li, Leonid Libkin, Victor Marsault, Wim Martens, Filip Murlak, Stefan Plantikow, Ognjen Savkovic, Michael Schmidt, Juan Sequeda, Slawek Staworko, Dominik Tomaszuk, Hannes Voigt, Domagoj Vrgoc, Mingxi Wu, Dusan Zivkovic:
PG-Schema: Schemas for Property Graphs. CoRR abs/2211.10962 (2022) - 2021
- [j19]Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, Matt Coler, George Fletcher, Mykola Pechenizkiy:
Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions. Evol. Comput. 29(3): 391-414 (2021) - [j18]Kaijie Zhu, George Fletcher, Nikolay Yakovets:
Competition-driven modeling of temporal networks. EPJ Data Sci. 10(1): 30 (2021) - [c75]Akrati Saxena, Yulong Pei, Jan Veldsink, Werner van Ipenburg, George Fletcher, Mykola Pechenizkiy:
The banking transactions dataset and its comparative analysis with scale-free networks. ASONAM 2021: 283-296 - [c74]Jochem Kuijpers, George Fletcher, Tobias Lindaaker, Nikolay Yakovets:
Path Indexing in the Cypher Query Pipeline. EDBT 2021: 582-587 - [c73]Kaijie Zhu, George Fletcher, Nikolay Yakovets:
Leveraging Temporal and Topological Selectivities in Temporal-clique Subgraph Query Processing. ICDE 2021: 672-683 - [c72]Daphne Miedema, Efthimia Aivaloglou, George Fletcher:
Identifying SQL Misconceptions of Novices: Findings from a Think-Aloud Study. ICER 2021: 355-367 - [c71]Daphne Miedema, Efthimia Aivaloglou, George Fletcher:
Exploring the Prevalence of SQL Misconceptions: a Study Design. Koli Calling 2021: 36:1-36:3 - [c70]Kyoungmin Kim, Hyeonji Kim, George Fletcher, Wook-Shin Han:
Combining Sampling and Synopses with Worst-Case Optimal Runtime and Quality Guarantees for Graph Pattern Cardinality Estimation. SIGMOD Conference 2021: 964-976 - [c69]Renzo Angles, Angela Bonifati, Stefania Dumbrava, George Fletcher, Keith W. Hare, Jan Hidders, Victor E. Lee, Bei Li, Leonid Libkin, Wim Martens, Filip Murlak, Josh Perryman, Ognjen Savkovic, Michael Schmidt, Juan F. Sequeda, Slawek Staworko, Dominik Tomaszuk:
PG-Keys: Keys for Property Graphs. SIGMOD Conference 2021: 2423-2436 - [c68]Daphne Miedema, George Fletcher:
SQLVis: Visual Query Representations for Supporting SQL Learners. VL/HCC 2021: 1-9 - [c67]Akrati Saxena, George Fletcher, Mykola Pechenizkiy:
How Fair is Fairness-aware Representative Ranking? WWW (Companion Volume) 2021: 161-165 - [d1]Angela Bonifati, Stefania Dumbrava, George Fletcher, Jan Hidders, Matthias Hofer, Wim Martens, Filip Murlak, Joshua Shinavier, Slawek Staworko, Dominik Tomaszuk:
Threshold queries in Python. Zenodo, 2021
- [i27]Akrati Saxena, George Fletcher, Mykola Pechenizkiy:
NodeSim: Node Similarity based Network Embedding for Diverse Link Prediction. CoRR abs/2102.00785 (2021) - [i26]Akrati Saxena, George Fletcher, Mykola Pechenizkiy:
How Fair is Fairness-aware Representative Ranking and Methods for Fair Ranking. CoRR abs/2103.01335 (2021) - [i25]Kyoungmin Kim, Hyeonji Kim, George Fletcher, Wook-Shin Han:
[Technical Report] Combining Sampling and Synopses with Worst-Case Optimal Runtime and Quality Guarantees for Graph Pattern Cardinality Estimation. CoRR abs/2103.13681 (2021) - [i24]Angela Bonifati, Stefania Dumbrava, George Fletcher, Jan Hidders, Matthias Hofer, Wim Martens, Filip Murlak, Joshua Shinavier, Slawek Staworko, Dominik Tomaszuk:
Threshold Queries in Theory and in the Wild. CoRR abs/2106.15703 (2021) - [i23]Wilco van Leeuwen, George Fletcher, Nikolay Yakovets:
A General Cardinality Estimation Framework for Subgraph Matching in Property Graphs. CoRR abs/2108.05275 (2021) - [i22]Seiji Maekawa, Yuya Sasaki, George Fletcher, Makoto Onizuka:
GenCAT: Generating Attributed Graphs with Controlled Relationships between Classes, Attributes, and Topology. CoRR abs/2109.04639 (2021) - [i21]Akrati Saxena, Yulong Pei, Jan Veldsink, Werner van Ipenburg, George Fletcher, Mykola Pechenizkiy:
The Banking Transactions Dataset and its Comparative Analysis with Scale-free Networks. CoRR abs/2109.10703 (2021) - 2020
- [j17]Yulong Pei, Xin Du, Jianpeng Zhang, George Fletcher, Mykola Pechenizkiy:
struc2gauss: Structural role preserving network embedding via Gaussian embedding. Data Min. Knowl. Discov. 34(4): 1072-1103 (2020) - [j16]Jelle Hellings, Marc Gyssens, Yuqing Wu, Dirk Van Gucht, Jan Van den Bussche, Stijn Vansummeren, George H. L. Fletcher:
Comparing the expressiveness of downward fragments of the relation algebra with transitive closure on trees. Inf. Syst. 89: 101467 (2020) - [j15]Jianpeng Zhang, Yulong Pei, George Fletcher, Mykola Pechenizkiy:
Evaluation of the Sample Clustering Process on Graphs. IEEE Trans. Knowl. Data Eng. 32(7): 1333-1347 (2020) - [c66]Larissa Capobianco Shimomura, George Fletcher, Nikolay Yakovets:
GGDs: Graph Generating Dependencies. CIKM 2020: 2217-2220 - [c65]Thomas Mulder, Nikolay Yakovets, George H. L. Fletcher:
Towards Planning of Regular Queries with Memory. EDBT 2020: 451-454 - [c64]Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George Fletcher, Mykola Pechenizkiy:
Novelty producing synaptic plasticity. GECCO Companion 2020: 93-94 - [e6]Angela Bonifati, Yongluan Zhou, Marcos Antonio Vaz Salles, Alexander Böhm, Dan Olteanu, George H. L. Fletcher, Arijit Khan, Bin Yang:
Proceedings of the 23rd International Conference on Extending Database Technology, EDBT 2020, Copenhagen, Denmark, March 30 - April 02, 2020. OpenProceedings.org 2020, ISBN 978-3-89318-083-7 [contents] - [i20]Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George H. L. Fletcher, Mykola Pechenizkiy:
Novelty Producing Synaptic Plasticity. CoRR abs/2002.03620 (2020) - [i19]Yuya Sasaki, George Fletcher, Makoto Onizuka:
Structural Indexing for Conjunctive Path Queries. CoRR abs/2003.03079 (2020) - [i18]George Fletcher, Paul Groth, Juan F. Sequeda:
Knowledge Scientists: Unlocking the data-driven organization. CoRR abs/2004.07917 (2020) - [i17]Larissa Capobianco Shimomura, George Fletcher, Nikolay Yakovets:
GGDs: Graph Generating Dependencies. CoRR abs/2004.10247 (2020)
2010 – 2019
- 2019
- [j14]Jianpeng Zhang, Kaijie Zhu, Yulong Pei, George H. L. Fletcher, Mykola Pechenizkiy:
Cluster-preserving sampling from fully-dynamic streaming graphs. Inf. Sci. 482: 279-300 (2019) - [c63]Radu Stoica, George H. L. Fletcher, Juan F. Sequeda:
On Directly Mapping Relational Databases to Property Graphs. AMW 2019 - [c62]Yulong Pei, George H. L. Fletcher, Mykola Pechenizkiy:
Joint role and community detection in networks via L2, 1 norm regularized nonnegative matrix tri-factorization. ASONAM 2019: 168-175 - [c61]Yulong Pei, Jianpeng Zhang, George H. L. Fletcher, Mykola Pechenizkiy:
Infinite motif stochastic blockmodel for role discovery in networks. ASONAM 2019: 456-459 - [c60]George H. L. Fletcher, Alexandra Poulovassilis, Petra Selmer, Peter T. Wood:
Approximate Querying for the Property Graph Language Cypher. IEEE BigData 2019: 617-622 - [c59]Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George H. L. Fletcher, Mykola Pechenizkiy:
Learning with delayed synaptic plasticity. GECCO 2019: 152-160 - [c58]Akhil Arora, Arnab Bhattacharya, George H. L. Fletcher:
GRADES-NDA 2019: Joint International Workshop on Graph Data Management Experiences & Systems and Network Data Analytics. SIGMOD Conference 2019: 2064-2065 - [c57]Kaijie Zhu, George H. L. Fletcher, Nikolay Yakovets, Odysseas Papapetrou, Yuqing Wu:
Scalable temporal clique enumeration. SSTD 2019: 120-129 - [c56]Jochem Kuijpers, George H. L. Fletcher, Nikolay Yakovets, Tobias Lindaaker:
An Experimental Study of Context-Free Path Query Evaluation Methods. SSDBM 2019: 121-132 - [e5]Akhil Arora, Arnab Bhattacharya, George H. L. Fletcher:
Proceedings of the 2nd Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), Amsterdam, The Netherlands, 30 June 2019. ACM 2019, ISBN 978-1-4503-6789-9 [contents] - [r1]George H. L. Fletcher, Martin Theobald:
Indexing for Graph Query Evaluation. Encyclopedia of Big Data Technologies 2019 - [i16]Anil Yaman, Giovanni Iacca, Decebal Constantin Mocanu, George H. L. Fletcher, Mykola Pechenizkiy:
Learning with Delayed Synaptic Plasticity. CoRR abs/1903.09393 (2019) - [i15]Anil Yaman, Decebal Constantin Mocanu, Giovanni Iacca, Matt Coler, George H. L. Fletcher, Mykola Pechenizkiy:
Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions. CoRR abs/1904.01709 (2019) - 2018
- [b1]Angela Bonifati, George H. L. Fletcher, Hannes Voigt, Nikolay Yakovets:
Querying Graphs. Synthesis Lectures on Data Management, Morgan & Claypool Publishers 2018, ISBN 978-3-031-00736-1 - [j13]Jianpeng Zhang, Yulong Pei, George H. L. Fletcher, Mykola Pechenizkiy:
A bounded-size clustering algorithm on fully-dynamic streaming graphs. Intell. Data Anal. 22(5): 1039-1058 (2018) - [c55]Nikolay Yakovets, Li Wang, George H. L. Fletcher, B. Craig Taverner, Alexandra Poulovassilis:
Histogram Domain Ordering for Path Selectivity Estimation. EDBT 2018: 493-496 - [c54]Anil Yaman, Giovanni Iacca, Matt Coler, George H. L. Fletcher, Mykola Pechenizkiy:
Multi-strategy Differential Evolution. EvoApplications 2018: 617-633 - [c53]Anil Yaman, Decebal Constantin Mocanu, Giovanni Iacca, George H. L. Fletcher, Mykola Pechenizkiy:
Limited evaluation cooperative co-evolutionary differential evolution for large-scale neuroevolution. GECCO 2018: 569-576 - [c52]Yulong Pei, Jianpeng Zhang, George H. L. Fletcher, Mykola Pechenizkiy:
DyNMF: Role Analytics in Dynamic Social Networks. IJCAI 2018: 3818-3824 - [c51]Renzo Angles, Marcelo Arenas, Pablo Barceló, Peter A. Boncz, George H. L. Fletcher, Claudio Gutierrez, Tobias Lindaaker, Marcus Paradies, Stefan Plantikow, Juan F. Sequeda, Oskar van Rest, Hannes Voigt:
G-CORE: A Core for Future Graph Query Languages. SIGMOD Conference 2018: 1421-1432 - [c50]Wouter Ligtenberg, Yulong Pei, George H. L. Fletcher, Mykola Pechenizkiy:
Tink: A Temporal Graph Analytics Library for Apache Flink. WWW (Companion Volume) 2018: 71-72 - [p2]Angela Bonifati, George H. L. Fletcher, Jan Hidders, Alexandru Iosup:
A Survey of Benchmarks for Graph-Processing Systems. Graph Data Management 2018: 163-186 - [e4]George H. L. Fletcher, Jan Hidders, Josep Lluís Larriba-Pey:
Graph Data Management, Fundamental Issues and Recent Developments. Data-Centric Systems and Applications, Springer 2018, ISBN 978-3-319-96192-7 [contents] - [e3]Akhil Arora, Arnab Bhattacharya, George H. L. Fletcher, Josep Lluís Larriba-Pey, Shourya Roy, Robert West:
Proceedings of the 1st ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), Houston, TX, USA, June 10, 2018. ACM 2018 [contents] - [i14]Jelle Hellings, Marc Gyssens, Yuqing Wu, Dirk Van Gucht, Jan Van den Bussche, Stijn Vansummeren, George H. L. Fletcher:
Comparing Downward Fragments of the Relational Calculus with Transitive Closure on Trees. CoRR abs/1803.01390 (2018) - [i13]Anil Yaman, Decebal Constantin Mocanu, Giovanni Iacca, George H. L. Fletcher, Mykola Pechenizkiy:
Limited Evaluation Cooperative Co-evolutionary Differential Evolution for Large-scale Neuroevolution. CoRR abs/1804.07234 (2018) - [i12]Yulong Pei, Xin Du, Jianpeng Zhang, George H. L. Fletcher, Mykola Pechenizkiy:
struc2gauss: Structure Preserving Network Embedding via Gaussian Embedding. CoRR abs/1805.10043 (2018) - [i11]Oskar van Rest, George Fletcher, Wook-Shin Han:
Graph Database Systems: Bridging Theory, Practice, and Engineering (NII Shonan Meeting 2018-10). NII Shonan Meet. Rep. 2018 (2018) - 2017
- [j12]Guillaume Bagan, Angela Bonifati, Radu Ciucanu, George H. L. Fletcher, Aurélien Lemay, Nicky Advokaat:
gMark: Schema-Driven Generation of Graphs and Queries. IEEE Trans. Knowl. Data Eng. 29(4): 856-869 (2017) - [c49]Jianpeng Zhang, Kaijie Zhu, Yulong Pei, George H. L. Fletcher, Mykola Pechenizkiy:
Clustering-Structure Representative Sampling from Graph Streams. COMPLEX NETWORKS 2017: 265-277 - [c48]Wilco van Leeuwen, Angela Bonifati, George H. L. Fletcher, Nikolay Yakovets:
Stability notions in synthetic graph generation: a preliminary study. EDBT 2017: 486-489 - [c47]George H. L. Fletcher, Hannes Voigt, Nikolay Yakovets:
Declarative Graph Querying in Practice and Theory. EDBT 2017: 598-601 - [c46]Guillaume Bagan, Angela Bonifati, Radu Ciucanu, George H. L. Fletcher, Aurélien Lemay, Nicky Advokaat:
gMark: Schema-Driven Generation of Graphs and Queries. ICDE 2017: 63-64 - [c45]Lucien D. J. Valstar, George H. L. Fletcher, Yuichi Yoshida:
Landmark Indexing for Evaluation of Label-Constrained Reachability Queries. SIGMOD Conference 2017: 345-358 - [i10]Renzo Angles, Marcelo Arenas, Pablo Barceló, Peter A. Boncz, George H. L. Fletcher, Claudio Gutierrez, Tobias Lindaaker, Marcus Paradies, Stefan Plantikow, Juan F. Sequeda, Oskar van Rest, Hannes Voigt:
G-CORE: A Core for Future Graph Query Languages. CoRR abs/1712.01550 (2017) - [i9]Laurent Daynès, George H. L. Fletcher, Wook-Shin Han:
Language integrated queries: towards standard logics for big data analytics (NII Shonan Meeting 2017-6). NII Shonan Meet. Rep. 2017 (2017) - 2016
- [j11]George H. L. Fletcher, Marc Gyssens, Jan Paredaens, Dirk Van Gucht, Yuqing Wu:
Structural characterizations of the navigational expressiveness of relation algebras on a tree. J. Comput. Syst. Sci. 82(2): 229-259 (2016) - [j10]Guillaume Bagan, Angela Bonifati, Radu Ciucanu, George H. L. Fletcher, Aurélien Lemay, Nicky Advokaat:
Generating Flexible Workloads for Graph Databases. Proc. VLDB Endow. 9(13): 1457-1460 (2016) - [c44]Jianpeng Zhang, Yulong Pei, George H. L. Fletcher, Mykola Pechenizkiy:
Structural measures of clustering quality on graph samples. ASONAM 2016: 345-348 - [c43]George H. L. Fletcher, Jeroen Peters, Alexandra Poulovassilis:
Efficient regular path query evaluation using path indexes. EDBT 2016: 636-639 - [c42]