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Accelerating Scalable Graph Neural Network Inference with Node-Adaptive
  Propagation

Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation

17 October 2023
Xin Gao
Wentao Zhang
Junliang Yu
Yingxiao Shao
Quoc Viet Hung Nguyen
Bin Cui
Hongzhi Yin
    AI4CE
    GNN
ArXivPDFHTML

Papers citing "Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation"

6 / 6 papers shown
Title
Graph Condensation: A Survey
Graph Condensation: A Survey
Xin Gao
Junliang Yu
Wei Jiang
Tong Chen
Wentao Zhang
Hongzhi Yin
DD
83
19
0
28 Jan 2025
RobGC: Towards Robust Graph Condensation
RobGC: Towards Robust Graph Condensation
Xinyi Gao
Hongzhi Yin
Tong Chen
Guanhua Ye
Wentao Zhang
Bin Cui
AAML
46
3
0
19 Jun 2024
Rethinking Graph Lottery Tickets: Graph Sparsity Matters
Rethinking Graph Lottery Tickets: Graph Sparsity Matters
Bo Hui
Jocelyn M Mora
Adrian V. Dalca
I. Aganj
31
21
0
03 May 2023
Distilling Knowledge from Graph Convolutional Networks
Distilling Knowledge from Graph Convolutional Networks
Yiding Yang
Jiayan Qiu
Mingli Song
Dacheng Tao
Xinchao Wang
138
222
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
128
615
0
02 Mar 2020
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
217
1,726
0
09 Jun 2018
1