Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2105.04528
Cited By
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning
10 May 2021
Hongkuan Zhou
Ajitesh Srivastava
Hanqing Zeng
R. Kannan
Viktor Prasanna
GNN
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Accelerating Large Scale Real-Time GNN Inference using Channel Pruning"
12 / 12 papers shown
Title
Sparse Decomposition of Graph Neural Networks
Yaochen Hu
Mai Zeng
Ge Zhang
P. Rumiantsev
Liheng Ma
Yingxue Zhang
Mark Coates
27
0
0
25 Oct 2024
Frameless Graph Knowledge Distillation
Dai Shi
Zhiqi Shao
Yi Guo
Junbin Gao
21
4
0
13 Jul 2023
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
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs
Jintang Li
Sheng Tian
Ruofan Wu
Liang Zhu
Welong Zhao
Changhua Meng
Liang Chen
Zibin Zheng
Hongzhi Yin
24
10
0
18 May 2023
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research
Arpandeep Khatua
Vikram Sharma Mailthody
Bhagyashree Taleka
Tengfei Ma
Xiang Song
Wen-mei W. Hwu
AI4CE
19
35
0
27 Feb 2023
SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP
Jie Chen
Shouzhen Chen
Mingyuan Bai
Junbin Gao
Junping Zhang
Jian Pu
24
10
0
18 Oct 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
41
98
0
16 May 2022
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA
Hongkuan Zhou
Bingyi Zhang
R. Kannan
Viktor Prasanna
Carl E. Busart
GNN
15
23
0
10 Mar 2022
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation
Shichang Zhang
Yozen Liu
Yizhou Sun
Neil Shah
20
172
0
17 Oct 2021
Grale: Designing Networks for Graph Learning
Jonathan J. Halcrow
A. Mosoi
Sam Ruth
Bryan Perozzi
GNN
63
46
0
23 Jul 2020
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
229
1,935
0
09 Jun 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
219
13,886
0
02 Dec 2016
1