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2210.17281
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GNN at the Edge: Cost-Efficient Graph Neural Network Processing over Distributed Edge Servers
31 October 2022
Liekang Zeng
Chong Yang
Peng Huang
Zhi Zhou
Shuai Yu
Xu Chen
GNN
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Papers citing
"GNN at the Edge: Cost-Efficient Graph Neural Network Processing over Distributed Edge Servers"
39 / 39 papers shown
Title
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications
Xingbo Fu
Binchi Zhang
Yushun Dong
Chen Chen
Jundong Li
FedML
OOD
AI4CE
90
36
0
24 Jul 2022
Service Discovery in Social Internet of Things using Graph Neural Networks
Aymen Hamrouni
Hakim Ghazzai
Y. Massoud
98
7
0
25 May 2022
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning
Zhen Wang
Weirui Kuang
Yuexiang Xie
Liuyi Yao
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
63
80
0
12 Apr 2022
Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization
Junyuan Hong
Haotao Wang
Zhangyang Wang
Jiayu Zhou
FedML
36
57
0
18 Mar 2022
Federated Graph Neural Networks: Overview, Techniques and Challenges
R. Liu
Pengwei Xing
Zichao Deng
Anran Li
Cuntai Guan
Han Yu
FedML
74
83
0
15 Feb 2022
Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids
Martin Ringsquandl
Houssem Sellami
Marcel Hildebrandt
Dagmar Beyer
S. Henselmeyer
Sebastian Weber
Mitchell Joblin
AI4CE
24
18
0
08 Sep 2021
Federated Graph Classification over Non-IID Graphs
Han Xie
Jing Ma
Li Xiong
Carl Yang
FedML
71
159
0
25 Jun 2021
Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling
Chuizheng Meng
Sirisha Rambhatla
Yan Liu
FedML
54
123
0
09 Jun 2021
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads
John Thorpe
Yifan Qiao
Jon Eyolfson
Shen Teng
Guanzhou Hu
...
Jinliang Wei
Keval Vora
Ravi Netravali
Miryung Kim
G. Xu
GNN
44
143
0
24 May 2021
Graph Neural Network for Traffic Forecasting: A Survey
Weiwei Jiang
Jiayun Luo
GNN
AI4TS
AI4CE
182
866
0
27 Jan 2021
Marius: Learning Massive Graph Embeddings on a Single Machine
J. Mohoney
R. Waleffe
Yiheng Xu
Theodoros Rekatsinas
Shivaram Venkataraman
GNN
87
62
0
20 Jan 2021
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs
Binghui Wang
Ang Li
H. Li
Yiran Chen
128
118
0
08 Dec 2020
CoEdge: Cooperative DNN Inference with Adaptive Workload Partitioning over Heterogeneous Edge Devices
Liekang Zeng
Xu Chen
Zhi Zhou
Lei Yang
Junshan Zhang
73
205
0
06 Dec 2020
ASFGNN: Automated Separated-Federated Graph Neural Network
Longfei Zheng
Jun Zhou
Chaochao Chen
Bingzhe Wu
L. xilinx Wang
Benyu Zhang
FedML
GNN
61
72
0
06 Nov 2020
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs
Da Zheng
Chao Ma
Minjie Wang
Jinjing Zhou
Qidong Su
Xiang Song
Quan Gan
Zheng Zhang
George Karypis
FedML
GNN
50
248
0
11 Oct 2020
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
Enmao Diao
Jie Ding
Vahid Tarokh
FedML
96
554
0
03 Oct 2020
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems
Yuwei Hu
Zihao Ye
Minjie Wang
Jiali Yu
Da Zheng
Mu Li
Zheng Zhang
Zhiru Zhang
Yida Wang
GNN
70
80
0
26 Aug 2020
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
Yingtong Dou
Zhiwei Liu
Li Sun
Yutong Deng
Hao Peng
Philip S. Yu
AAML
96
469
0
19 Aug 2020
SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud
Stefanos Laskaridis
Stylianos I. Venieris
Mario Almeida
Ilias Leontiadis
Nicholas D. Lane
65
270
0
14 Aug 2020
Distributed Training of Graph Convolutional Networks
Simone Scardapane
Indro Spinelli
P. Lorenzo
GNN
BDL
68
26
0
13 Jul 2020
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey
Joakim Skarding
Bogdan Gabrys
Katarzyna Musial
AI4CE
72
231
0
13 May 2020
Reducing Communication in Graph Neural Network Training
Alok Tripathy
Katherine Yelick
A. Buluç
GNN
68
105
0
07 May 2020
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection
Zhiwei Liu
Yingtong Dou
Philip S. Yu
Yutong Deng
Hao Peng
GNN
97
277
0
01 May 2020
Deep Learning on Knowledge Graph for Recommender System: A Survey
Y. Gao
Yifan Li
Yu Lin
Hang Gao
Latifur Khan
52
48
0
25 Mar 2020
HyGCN: A GCN Accelerator with Hybrid Architecture
Yurui Lai
Lei Deng
Xing Hu
Ling Liang
Yujing Feng
Xiaochun Ye
Zhimin Zhang
Xiaochun Ye
Yuan Xie
GNN
86
289
0
07 Jan 2020
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedML
AI4CE
192
6,229
0
10 Dec 2019
Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing
En Li
Liekang Zeng
Zhi Zhou
Xu Chen
46
625
0
04 Oct 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing
Zhi Zhou
Xu Chen
En Li
Liekang Zeng
Ke Luo
Junshan Zhang
88
1,439
0
24 May 2019
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DH
GNN
3DPC
198
4,334
0
06 Mar 2019
AliGraph: A Comprehensive Graph Neural Network Platform
Rong Zhu
Kun Zhao
Hongxia Yang
Wei Lin
Chang Zhou
Baole Ai
Yong Li
Jingren Zhou
GNN
97
388
0
23 Feb 2019
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
581
8,496
0
03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
882
5,493
0
20 Dec 2018
Deep Learning on Graphs: A Survey
Ziwei Zhang
Peng Cui
Wenwu Zhu
GNN
149
1,331
0
11 Dec 2018
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
426
20,089
0
30 Oct 2017
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
Ting Yu
Haoteng Yin
Zhanxing Zhu
GNN
AI4TS
110
3,700
0
14 Sep 2017
Distributed Deep Neural Networks over the Cloud, the Edge and End Devices
Surat Teerapittayanon
Bradley McDanel
H. T. Kung
FedML
74
715
0
06 Sep 2017
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
452
15,179
0
07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
577
28,999
0
09 Sep 2016
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
627
31,469
0
16 Jan 2013
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