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Publication search results
found 140 matches
- 2024
- Renzo Angles
, Vicente Calisto
, Javiera Díaz
, Sebastián Ferrada
, Aidan Hogan
, Alexander Pinto
, Juan L. Reutter
, Carlos Rojas
, Henry Rosales-Méndez
, Hernan Sarmiento
, Etienne Toussaint
, Domagoj Vrgoc
:
TelarKG: a Knowledge Graph of Chile's Constitutional Process. GRADES/NDA 2024: 3:1-3:5 - Diego Arroyuelo
, Daniela Campos
, Adrián Gómez-Brandón
, Gonzalo Navarro
, Carlos Rojas
, Domagoj Vrgoc
:
Space & Time Efficient Leapfrog Triejoin. GRADES/NDA 2024: 2:1-2:9 - Wilco van Leeuwen
, George Fletcher
, Nikolay Yakovets
:
HomeRun: A Cardinality Estimation Advisor for Graph Databases. GRADES/NDA 2024: 6:1-6:9 - Siddhartha Sahu
, Semih Salihoglu
:
Optimizing Differential Computation for Large-Scale Graph Processing. GRADES/NDA 2024: 4:1-4:9 - Juan Sequeda
, Dean Allemang
, Bryon Jacob
:
A Benchmark to Understand the Role of Knowledge Graphs on Large Language Model's Accuracy for Question Answering on Enterprise SQL Databases. GRADES/NDA 2024: 5:1-5:12 - Akshit Sharma
, Dinesh P. Mehta
, Bo Wu
:
Understanding High-Performance Subgraph Pattern Matching: A Systems Perspective. GRADES/NDA 2024: 1:1-1:12 - Olaf Hartig, Zoi Kaoudi:
Proceedings of the 7th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), Santiago, Chile, 14 June 2024. ACM 2024 [contents] - 2023
- Giacomo Bergami
:
Fast Synthetic Data-Aware Log Generation for Temporal Declarative Models. GRADES-NDA@SIGMOD 2023: 7:1-7:9 - Jeroen Bollen
, Jasper Steegmans
, Jan Van den Bussche
, Stijn Vansummeren
:
Learning Graph Neural Networks using Exact Compression. GRADES-NDA@SIGMOD 2023: 8:1-8:9 - Andrew Chai
, Alireza Vezvaei
, Lukasz Golab
, Mehdi Kargar
, Divesh Srivastava
, Jaroslaw Szlichta
, Morteza Zihayat
:
EAGER: Explainable Question Answering Using Knowledge Graphs. GRADES-NDA@SIGMOD 2023: 4:1-4:5 - James Cheng
:
Graph Feature Management: Impact, Challenges and Opportunities. GRADES-NDA@SIGMOD 2023: 2:1 - Tomás Faltín
, Vasileios Trigonakis
, Ayoub Berdai
, Luigi Fusco
, Calin Iorgulescu
, Sungpack Hong
, Hassan Chafi
:
Better Distributed Graph Query Planning With Scouting Queries. GRADES-NDA@SIGMOD 2023: 3:1-3:9 - Christos Gkartzios
, Evaggelia Pitoura
:
Future-Time Temporal Path Queries. GRADES-NDA@SIGMOD 2023: 6:1-6:5 - Amy E. Hodler
:
The Commercial Side of Graph Analytics: Big Uses, Big Mistakes, Big Opportunities. GRADES-NDA@SIGMOD 2023: 1:1 - Juntong Luo
, Scott Sallinen
, Matei Ripeanu
:
Going with the Flow: Real-Time Max-Flow on Asynchronous Dynamic Graphs. GRADES-NDA@SIGMOD 2023: 5:1-5:11 - Ehsan Bonabi Mobaraki
, Arijit Khan
:
A Demonstration of Interpretability Methods for Graph Neural Networks. GRADES-NDA@SIGMOD 2023: 9:1-9:5 - Olaf Hartig, Yuichi Yoshida:
Proceedings of the 6th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), Seattle, WA, USA, 18 June 2023. ACM 2023 [contents] - 2022
- Renzo Angles, Aidan Hogan, Ora Lassila, Carlos Rojas, Daniel Schwabe, Pedro A. Szekely, Domagoj Vrgoc:
Multilayer graphs: a unified data model for graph databases. GRADES-NDA@SIGMOD 2022: 11:1-11:6 - Kasimir Gabert, Ali Pinar, Ümit V. Çatalyürek:
Batch dynamic algorithm to find k-core hierarchies. GRADES-NDA@SIGMOD 2022: 9:1-9:10 - Mingyu Guan, Anand Padmanabha Iyer, Taesoo Kim:
DynaGraph: dynamic graph neural networks at scale. GRADES-NDA@SIGMOD 2022: 6:1-6:10 - James A. Hendler:
Knowledge graph semantics. GRADES-NDA@SIGMOD 2022: 1:1 - Jing Huang:
Knowledge graph representation learning and graph neural networks for language understanding. GRADES-NDA@SIGMOD 2022: 2:1 - Kasra Jamshidi
, Mugilan Mariappan, Keval Vora
:
Anti-vertex for neighborhood constraints in subgraph queries. GRADES-NDA@SIGMOD 2022: 5:1-5:9 - Shahrzad Khayatbashi, Sebastián Ferrada, Olaf Hartig:
Converting property graphs to RDF: a preliminary study of the practical impact of different mappings. GRADES-NDA@SIGMOD 2022: 10:1-10:9 - Andrew McCrabb, Hellina Nigatu, Absalat Getachew, Valeria Bertacco:
DyGraph: a dynamic graph generator and benchmark suite. GRADES-NDA@SIGMOD 2022: 7:1-7:8 - Yann Ramusat, Silviu Maniu
, Pierre Senellart:
Efficient provenance-aware querying of graph databases with datalog. GRADES-NDA@SIGMOD 2022: 4:1-4:9 - Michael Schramm
, Sukanya Bhowmik, Kurt Rothermel:
Flexible application-aware approximation for modern distributed graph processing frameworks. GRADES-NDA@SIGMOD 2022: 8:1-8:10 - Lin Zhao, Arijit Khan
, Robby Luo:
ShaderNet: graph-based shader code analysis to accelerate GPU's performance improvement. GRADES-NDA@SIGMOD 2022: 3:1-3:5 - Vasiliki Kalavri, Semih Salihoglu:
GRADES-NDA '22: Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), Philadelphia, Pennsylvania, USA, 12 June 2022. ACM 2022, ISBN 978-1-4503-9384-3 [contents] - 2021
- Nafisa Anzum, Semih Salihoglu:
R2GSync and edge views: practical RDBMS to GDBMS synchronization. GRADES-NDA@SIGMOD 2021: 9:1-9:9
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