GRADES-NDA@SIGMOD

Keyphrases

Publications

2023

James Cheng
Graph Feature Management: Impact, Challenges and Opportunities. GRADES-NDA@SIGMOD (2023)
Jeroen Bollen, Jasper Steegmans, Jan Van den Bussche, Stijn Vansummeren
Learning Graph Neural Networks using Exact Compression. GRADES-NDA@SIGMOD (2023)
Juntong Luo, Scott Sallinen, Matei Ripeanu
Going with the Flow: Real-Time Max-Flow on Asynchronous Dynamic Graphs. GRADES-NDA@SIGMOD (2023)
Christos Gkartzios, Evaggelia Pitoura
Future-Time Temporal Path Queries. GRADES-NDA@SIGMOD (2023)
Ehsan Bonabi Mobaraki, Arijit Khan
A Demonstration of Interpretability Methods for Graph Neural Networks. GRADES-NDA@SIGMOD (2023)
Giacomo Bergami
Fast Synthetic Data-Aware Log Generation for Temporal Declarative Models. GRADES-NDA@SIGMOD (2023)
Proceedings of the 6th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), Seattle, WA, USA, 18 June 2023 GRADES-NDA@SIGMOD (2023)
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)
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)
Amy E. Hodler
The Commercial Side of Graph Analytics: Big Uses, Big Mistakes, Big Opportunities. GRADES-NDA@SIGMOD (2023)

2022

2021

2020