The Evolution of Distributed Systems for Graph Neural Networks and their
Origin in Graph Processing and Deep Learning: A Survey

The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey

ACM Computing Surveys (ACM Comput. Surv.), 2023

23 May 2023

Hans-Arno Jacobsen

ArXiv (abs)PDF HTML

Papers citing "The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey"

12 / 12 papers shown

Title
Teleportation-Based Defenses for Privacy in Approximate Machine Unlearning Mohammad Maheri Xavier F. Cadet Peter Chin Hamed Haddadi AAML MU 116 0 0 29 Nov 2025
FedSGT: Exact Federated Unlearning via Sequential Group-based Training Bokang Zhang Hong Guan Hong kyu Lee Ruixuan Liu Jia Zou Li Xiong MU FedML 197 0 0 28 Nov 2025
Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity Lutz Oettershagen Othon Michail 169 0 0 04 Oct 2025
Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems Wenxuan Zhu Qiyuan Wu Tengda Tang Renzi Meng Sheng Chai Xuehui Quan 214 6 0 22 May 2025
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 335 2 0 02 Mar 2025
Vision Paper: Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act Barbara Hoffmann Jana Vatter R. Mayer 192 0 0 29 Oct 2024
D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural NetworksProceedings of the VLDB Endowment (PVLDB), 2024 Rustam Guliyev Aparajita Haldar Hakan Ferhatosmanoglu GNN 172 3 0 10 Sep 2024
CUTTANA: Scalable Graph Partitioning for Faster Distributed Graph Databases and AnalyticsProceedings of the VLDB Endowment (PVLDB), 2023 Milad Rezaei Hajidehi Sraavan Sridhar Margo Seltzer 207 5 0 13 Dec 2023
Limited Communications Distributed Optimization via Deep Unfolded Distributed ADMM Yoav Noah Stefano Rini 187 4 0 21 Sep 2023
An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network TrainingInternational Conference on Extending Database Technology (EDBT), 2023 Nikolai Merkel Daniel Stoll R. Mayer Hans-Arno Jacobsen GNN 236 2 0 29 Aug 2023
Distributed Graph Neural Network Training: A SurveyACM Computing Surveys (ACM CSUR), 2022 Yingxia Shao Hongzheng Li Xizhi Gu Hongbo Yin Yawen Li Xupeng Miao Wentao Zhang Tengjiao Wang Lei Chen GNN AI4CE 366 85 0 01 Nov 2022
DeeperGCN: All You Need to Train Deeper GCNs Guohao Li Chenxin Xiong Ali K. Thabet Guohao Li GNN 550 483 0 13 Jun 2020