Partitioner Selection with EASE to Optimize Distributed Graph Processing

11 April 2023

Papers citing "Partitioner Selection with EASE to Optimize Distributed Graph Processing"

4 / 4 papers shown

Title
Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study Nikolai Merkel Pierre Toussing R. Mayer Hans-Arno Jacobsen GNN 20 1 0 17 Sep 2024
CUTTANA: Scalable Graph Partitioning for Faster Distributed Graph Databases and Analytics Milad Rezaei Hajidehi Sraavan Sridhar Margo Seltzer 28 2 0 13 Dec 2023
An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training Nikolai Merkel Daniel Stoll R. Mayer Hans-Arno Jacobsen GNN 17 1 0 29 Aug 2023
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey Jana Vatter R. Mayer Hans-Arno Jacobsen GNN AI4TS AI4CE 29 23 0 23 May 2023