ResearchTrend.AI
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware

A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware

Shichang Zhang
Atefeh Sohrabizadeh
Cheng Wan
Zijie Huang
Ziniu Hu
Yewen Wang
Yingyan Lin
Lin
Jason Cong
Yizhou Sun
ArXivPDFHTML

Papers citing "A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware"

16 / 16 papers shown
Title
Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling
Scaling Laws of Graph Neural Networks for Atomistic Materials Modeling
Chaojian Li
Zhifan Ye
Massimiliano Lupo Pasini
Jong Youl Choi
Cheng Wan
Y. Lin
Prasanna Balaprakash
39
0
0
10 Apr 2025
Graph Condensation: A Survey
Graph Condensation: A Survey
Xin Gao
Junliang Yu
Wei Jiang
Tong Chen
Wentao Zhang
Hongzhi Yin
DD
95
19
0
28 Jan 2025
The Transferability of Downsamped Sparse Graph Convolutional Networks
The Transferability of Downsamped Sparse Graph Convolutional Networks
Qinji Shu
Hang Sheng
Feng Ji
Hui Feng
Bo Hu
BDL
26
0
0
30 Aug 2024
GC-Bench: A Benchmark Framework for Graph Condensation with New Insights
GC-Bench: A Benchmark Framework for Graph Condensation with New Insights
Shengbo Gong
Juntong Ni
Noveen Sachdeva
Carl Yang
Wei Jin
DD
34
3
0
24 Jun 2024
Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency
Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency
Ningyi Liao
Haoyu Liu
Zulun Zhu
Siqiang Luo
L. Lakshmanan
42
2
0
14 Jun 2024
Acceleration Algorithms in GNNs: A Survey
Acceleration Algorithms in GNNs: A Survey
Lu Ma
Zeang Sheng
Xunkai Li
Xin Gao
Zhezheng Hao
Ling Yang
Wentao Zhang
Bin Cui
GNN
42
3
0
07 May 2024
Unifews: Unified Entry-Wise Sparsification for Efficient Graph Neural Network
Unifews: Unified Entry-Wise Sparsification for Efficient Graph Neural Network
Ningyi Liao
Zihao Yu
Siqiang Luo
GNN
30
0
0
20 Mar 2024
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation
Mohammad Hashemi
Shengbo Gong
Juntong Ni
Wenqi Fan
B. A. Prakash
Wei-dong Jin
DD
76
40
0
29 Jan 2024
An FPGA-Based Accelerator for Graph Embedding using Sequential Training Algorithm
An FPGA-Based Accelerator for Graph Embedding using Sequential Training Algorithm
Kazuki Sunaga
Keisuke Sugiura
Hiroki Matsutani
GNN
16
0
0
23 Dec 2023
SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning
SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning
Zihao Ye
Ruihang Lai
Junru Shao
Tianqi Chen
Luis Ceze
78
91
0
11 Jul 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
45
104
0
16 May 2022
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
Sung Une Lee
Boming Xia
Yongan Zhang
Ang Li
Yingyan Lin
GNN
55
47
0
22 Dec 2021
Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs
Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs
Hesham Mostafa
GNN
51
24
0
11 Nov 2021
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining
Tim Kaler
Nickolas Stathas
Anne Ouyang
A. Iliopoulos
Tao B. Schardl
C. E. Leiserson
Jie Chen
GNN
70
53
0
16 Oct 2021
Distilling Knowledge from Graph Convolutional Networks
Distilling Knowledge from Graph Convolutional Networks
Yiding Yang
Jiayan Qiu
Xiuming Zhang
Dacheng Tao
Xinchao Wang
160
226
0
23 Mar 2020
Heterogeneous Graph Transformer
Heterogeneous Graph Transformer
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Yizhou Sun
185
1,170
0
03 Mar 2020