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Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence

Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence

8 January 2025
Liekang Zeng
Shengyuan Ye
Xu Chen
Xiaoxi Zhang
Ju Ren
Jian Tang
Yang Yang
Xuemin
Shen
ArXivPDFHTML

Papers citing "Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence"

17 / 17 papers shown
Title
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban
  Computing: A Survey
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
G. Jin
Yuxuan Liang
Yuchen Fang
Zezhi Shao
Jincai Huang
Junbo Zhang
Yu Zheng
AI4TS
AI4CE
83
181
0
25 Mar 2023
Hardware-Aware Graph Neural Network Automated Design for Edge Computing
  Platforms
Hardware-Aware Graph Neural Network Automated Design for Edge Computing Platforms
Ao Zhou
Jianlei Yang
Yingjie Qi
Yumeng Shi
Tong Qiao
Weisheng Zhao
Chunming Hu
GNN
53
11
0
20 Mar 2023
Heterogeneous Federated Learning on a Graph
Heterogeneous Federated Learning on a Graph
Huiyuan Wang
Xuyang Zhao
Weijie Lin
FedML
52
4
0
19 Sep 2022
A Bipartite Graph Neural Network Approach for Scalable Beamforming
  Optimization
A Bipartite Graph Neural Network Approach for Scalable Beamforming Optimization
Junbeom Kim
Hoon Lee
Seung‐Eun Hong
Seok-Hwan Park
41
44
0
12 Jul 2022
Power Allocation for Wireless Federated Learning using Graph Neural
  Networks
Power Allocation for Wireless Federated Learning using Graph Neural Networks
Boning Li
A. Swami
Santiago Segarra
FedML
50
12
0
15 Nov 2021
Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based
  Vertical Federated Learning
Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated Learning
Jinyin Chen
Guohan Huang
Haibin Zheng
Shanqing Yu
Wenrong Jiang
Chen Cui
AAML
FedML
74
32
0
13 Oct 2021
Coverage Control in Multi-Robot Systems via Graph Neural Networks
Coverage Control in Multi-Robot Systems via Graph Neural Networks
W. Gosrich
Siddharth Mayya
Rebecca Li
James Paulos
Mark H. Yim
Alejandro Ribeiro
Vijay R. Kumar
50
24
0
30 Sep 2021
Fast Power Control Adaptation via Meta-Learning for Random Edge Graph
  Neural Networks
Fast Power Control Adaptation via Meta-Learning for Random Edge Graph Neural Networks
I. Nikoloska
Osvaldo Simeone
37
21
0
02 May 2021
Graph-based Semi-supervised Learning: A Comprehensive Review
Graph-based Semi-supervised Learning: A Comprehensive Review
Zixing Song
Xiangli Yang
Zenglin Xu
Irwin King
79
191
0
26 Feb 2021
A New Look and Convergence Rate of Federated Multi-Task Learning with
  Laplacian Regularization
A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian Regularization
Canh T. Dinh
Thanh Tung Vu
N. H. Tran
Minh N. Dao
Hongyu Zhang
FedML
65
40
0
14 Feb 2021
Deep Graph Convolutional Networks for Wind Speed Prediction
Deep Graph Convolutional Networks for Wind Speed Prediction
Tomasz Stanczyk
S. Mehrkanoon
GNN
91
30
0
25 Jan 2021
Conditional Local Convolution for Spatio-temporal Meteorological
  Forecasting
Conditional Local Convolution for Spatio-temporal Meteorological Forecasting
Haitao Lin
Zhangyang Gao
Yongjie Xu
Lirong Wu
Ling Li
Stan. Z. Li
AI4TS
121
72
0
04 Jan 2021
Explainability in Graph Neural Networks: A Taxonomic Survey
Explainability in Graph Neural Networks: A Taxonomic Survey
Hao Yuan
Haiyang Yu
Shurui Gui
Shuiwang Ji
167
591
0
31 Dec 2020
GraphFL: A Federated Learning Framework for Semi-Supervised Node
  Classification on Graphs
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs
Binghui Wang
Ang Li
H. Li
Yiran Chen
82
0
0
08 Dec 2020
Distilling Knowledge from Graph Convolutional Networks
Distilling Knowledge from Graph Convolutional Networks
Yiding Yang
Jiayan Qiu
Mingli Song
Dacheng Tao
Xinchao Wang
148
226
0
23 Mar 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Weijing Shi
Ragunathan
R. Rajkumar
3DPC
150
737
0
02 Mar 2020
Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt
  for Mobile and Embedded Applications
Ultra Power-Efficient CNN Domain Specific Accelerator with 9.3TOPS/Watt for Mobile and Embedded Applications
Baohua Sun
L. Yang
Patrick Dong
Wenhan Zhang
Jason Dong
Charles Young
31
34
0
30 Apr 2018
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