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GNNHLS: Evaluating Graph Neural Network Inference via High-Level
  Synthesis

GNNHLS: Evaluating Graph Neural Network Inference via High-Level Synthesis

27 September 2023
Chen Zhao
Zehao Dong
Yixin Chen
Xuan Zhang
Roger D. Chamberlain
    GNN
ArXivPDFHTML

Papers citing "GNNHLS: Evaluating Graph Neural Network Inference via High-Level Synthesis"

3 / 3 papers shown
Title
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
178
907
0
02 Mar 2020
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
...
J. Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng-Wei Zhang
AI4CE
GNN
182
731
0
03 Sep 2019
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
234
1,801
0
25 Nov 2016
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