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Distributed Edge Partitioning for Trillion-edge Graphs

Distributed Edge Partitioning for Trillion-edge Graphs

16 August 2019
Masatoshi Hanai
Toyotaro Suzumura
Wen Jun Tan
Elvis S. Liu
Georgios Theodoropoulos
Wentong Cai
ArXivPDFHTML

Papers citing "Distributed Edge Partitioning for Trillion-edge Graphs"

12 / 12 papers shown
Title
Play like a Vertex: A Stackelberg Game Approach for Streaming Graph
  Partitioning
Play like a Vertex: A Stackelberg Game Approach for Streaming Graph Partitioning
Zezhong Ding
Yongan Xiang
Shangyou Wang
Xike Xie
S. K. Zhou
21
3
0
28 Feb 2024
CUTTANA: Scalable Graph Partitioning for Faster Distributed Graph
  Databases and Analytics
CUTTANA: Scalable Graph Partitioning for Faster Distributed Graph Databases and Analytics
Milad Rezaei Hajidehi
Sraavan Sridhar
Margo Seltzer
28
2
0
13 Dec 2023
2SFGL: A Simple And Robust Protocol For Graph-Based Fraud Detection
2SFGL: A Simple And Robust Protocol For Graph-Based Fraud Detection
Zhirui Pan
Guangzhong Wang
Zhaoning Li
Lifeng Chen
Yang Bian
Zhongyuan Lai
FedML
18
2
0
12 Oct 2023
An Experimental Comparison of Partitioning Strategies for Distributed
  Graph Neural Network Training
An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training
Nikolai Merkel
Daniel Stoll
R. Mayer
Hans-Arno Jacobsen
GNN
19
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
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
31
23
0
23 May 2023
Partitioner Selection with EASE to Optimize Distributed Graph Processing
Partitioner Selection with EASE to Optimize Distributed Graph Processing
Nikolai Merkel
R. Mayer
Tawkir Ahmed Fakir
Hans-Arno Jacobsen
24
5
0
11 Apr 2023
Out-of-Core Edge Partitioning at Linear Run-Time
Out-of-Core Edge Partitioning at Linear Run-Time
R. Mayer
Kamil Orujzade
Hans-Arno Jacobsen
17
19
0
23 Mar 2022
Scaling Knowledge Graph Embedding Models
Scaling Knowledge Graph Embedding Models
Nasrullah Sheikh
Xiao Qin
B. Reinwald
Chuan Lei
26
5
0
08 Jan 2022
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and
  Preprocessing
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing
Tianfeng Liu
Yangrui Chen
Dan Li
Chuan Wu
Yibo Zhu
Jun He
Yanghua Peng
Hongzheng Chen
Hongzhi Chen
Chuanxiong Guo
GNN
26
77
0
16 Dec 2021
Hybrid Edge Partitioner: Partitioning Large Power-Law Graphs under
  Memory Constraints
Hybrid Edge Partitioner: Partitioning Large Power-Law Graphs under Memory Constraints
R. Mayer
Hans-Arno Jacobsen
14
30
0
23 Mar 2021
Time-Efficient and High-Quality Graph Partitioning for Graph Dynamic
  Scaling
Time-Efficient and High-Quality Graph Partitioning for Graph Dynamic Scaling
Masatoshi Hanai
Nikos Tziritas
Toyotaro Suzumura
Wentong Cai
Georgios Theodoropoulos
16
0
0
18 Jan 2021
Towards Federated Graph Learning for Collaborative Financial Crimes
  Detection
Towards Federated Graph Learning for Collaborative Financial Crimes Detection
Toyotaro Suzumura
Yi Zhou
Natahalie Barcardo
Guangann Ye
Keith Houck
...
Yuji Watanabe
Pablo S. Loyola
Daniel Klyashtorny
Heiko Ludwig
Kumar Bhaskaran
FedML
14
70
0
19 Sep 2019
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