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2001.02514
Cited By
HyGCN: A GCN Accelerator with Hybrid Architecture
International Symposium on High-Performance Computer Architecture (HPCA), 2020
7 January 2020
Yurui Lai
Lei Deng
Xing Hu
Ling Liang
Yujing Feng
Xiaochun Ye
Zhimin Zhang
Xiaochun Ye
Yuan Xie
GNN
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Papers citing
"HyGCN: A GCN Accelerator with Hybrid Architecture"
50 / 84 papers shown
HePGA: A Heterogeneous Processing-in-Memory based GNN Training Accelerator
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Gaurav Narang
B. K. Joardar
J. Doppa
Krishnendu Chakrabarty
P. Pande
184
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22 Aug 2025
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching
Vignesh Balaji
Christos Kozyrakis
Gal Chechik
Haggai Maron
GNN
287
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0
25 Apr 2025
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
Liekang Zeng
Shengyuan Ye
Xu Chen
Xiaoxi Zhang
Ju Ren
Jian Tang
Yang Yang
Xuemin
Shen
554
13
0
08 Jan 2025
A Data-Driven Approach to Dataflow-Aware Online Scheduling for Graph Neural Network Inference
Asia and South Pacific Design Automation Conference (ASP-DAC), 2024
Pol Puigdemont
Francesco Lo Presti
Axel Wassington
Abhijit Das
S. Abadal
Maurizio Palesi
GNN
339
0
0
25 Nov 2024
SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024
Runzhen Xue
Yurui Lai
Dengke Han
Zhimin Tang
Mingyu Yan
Xiaochun Ye
GNN
195
1
0
27 Aug 2024
NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator
Kaustubh Shivdikar
Nicolas Bohm Agostini
Malith Jayaweera
Gilbert Jonatan
José L. Abellán
Ajay Joshi
John Kim
David Kaeli
GNN
423
7
0
23 Apr 2024
GCV-Turbo: End-to-end Acceleration of GNN-based Computer Vision Tasks on FPGA
IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM), 2024
Bingyi Zhang
Rajgopal Kannan
Carl E. Busart
Viktor Prasanna
GNN
ViT
203
3
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10 Apr 2024
HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge Graph Reasoning
Hanning Chen
Yang Ni
Ali Zakeri
Zhuowen Zou
Sanggeon Yun
Fei Wen
Behnam Khaleghi
Narayan Srinivasa
Hugo Latapie
Mohsen Imani
235
8
0
09 Mar 2024
Single-GPU GNN Systems: Traps and Pitfalls
Yidong Gong
A. Tarafder
Saima Afrin
Pradeep Kumar
GNN
282
2
0
05 Feb 2024
Accelerating Neural Networks for Large Language Models and Graph Processing with Silicon Photonics
Design, Automation and Test in Europe (DATE), 2024
Salma Afifi
Febin P. Sunny
Mahdi Nikdast
S. Pasricha
GNN
225
6
0
12 Jan 2024
MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training
International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2023
Hongwu Peng
Xi Xie
Kaustubh Shivdikar
Md Amit Hasan
Jiahui Zhao
Shaoyi Huang
Omer Khan
David Kaeli
Caiwen Ding
529
48
0
14 Dec 2023
Multicoated and Folded Graph Neural Networks with Strong Lottery Tickets
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Jiale Yan
Hiroaki Ito
Ángel López García-Arias
Yasuyuki Okoshi
Hikari Otsuka
Kazushi Kawamura
Thiem Van Chu
Masato Motomura
366
6
0
06 Dec 2023
HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformers
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Maciej Besta
Afonso Claudino Catarino
Lukas Gianinazzi
Nils Blach
Piotr Nyczyk
H. Niewiadomski
Torsten Hoefler
495
11
0
30 Nov 2023
Architectural Implications of GNN Aggregation Programming Abstractions
IEEE computer architecture letters (CAL), 2023
Yingjie Qi
Jianlei Yang
Ao Zhou
Tong Qiao
Chunming Hu
GNN
AI4CE
337
9
0
18 Oct 2023
InkStream: Real-time GNN Inference on Streaming Graphs via Incremental Update
Dan Wu
Zhaoying Li
Tulika Mitra
GNN
213
4
0
20 Sep 2023
Accelerating Generic Graph Neural Networks via Architecture, Compiler, Partition Method Co-Design
Shuwen Lu
Zhihui Zhang
Cong Guo
Jingwen Leng
Yangjie Zhou
Minyi Guo
GNN
134
1
0
16 Aug 2023
Exploiting On-chip Heterogeneity of Versal Architecture for GNN Inference Acceleration
International Conference on Field-Programmable Logic and Applications (FPL), 2023
Paul Chen
Pavan Manjunath
Sasindu Wijeratne
Bingyi Zhang
Viktor Prasanna
GNN
318
11
0
04 Aug 2023
MaGNAS: A Mapping-Aware Graph Neural Architecture Search Framework for Heterogeneous MPSoC Deployment
ACM Transactions on Embedded Computing Systems (TECS), 2023
Mohanad Odema
Halima Bouzidi
Hamza Ouarnoughi
Smail Niar
M. A. Al Faruque
334
14
0
16 Jul 2023
GHOST: A Graph Neural Network Accelerator using Silicon Photonics
ACM Transactions on Embedded Computing Systems (TECS), 2023
S. Afifi
Febin P. Sunny
Amin Shafiee
Mahdi Nikdast
S. Pasricha
GNN
334
14
0
04 Jul 2023
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
GNN
OOD
316
33
0
24 Jun 2023
Low Latency Edge Classification GNN for Particle Trajectory Tracking on FPGAs
International Conference on Field-Programmable Logic and Applications (FPL), 2023
Shih-Yu Huang
Yun-Chen Yang
Yu-Ru Su
Bo-Cheng Lai
Javier Mauricio Duarte
Scott Hauck
Shih-Chieh Hsu
Jin-Xuan Hu
Mark S. Neubauer
GNN
280
2
0
20 Jun 2023
GNNBuilder: An Automated Framework for Generic Graph Neural Network Accelerator Generation, Simulation, and Optimization
International Conference on Field-Programmable Logic and Applications (FPL), 2023
Stefan Abi-Karam
Cong Hao
GNN
358
12
0
29 Mar 2023
Dynasparse: Accelerating GNN Inference through Dynamic Sparsity Exploitation
IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2023
Bingyi Zhang
Viktor Prasanna
GNN
260
9
0
22 Mar 2023
HitGNN: High-throughput GNN Training Framework on CPU+Multi-FPGA Heterogeneous Platform
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2023
Yi-Chien Lin
Bingyi Zhang
Viktor Prasanna
GNN
211
11
0
02 Mar 2023
HyScale-GNN: A Scalable Hybrid GNN Training System on Single-Node Heterogeneous Architecture
IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2023
Yi-Chien Lin
Viktor Prasanna
GNN
179
7
0
01 Mar 2023
Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach
IEEE Transactions on Vehicular Technology (IEEE Trans. Veh. Technol.), 2023
Mahmoud Nazzal
Abdallah Khreishah
Joyoung Lee
Shaahin Angizi
Ala I. Al-Fuqaha
Mohsen Guizani
285
19
0
28 Feb 2023
GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN Inference
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2023
Bingyi Zhang
Hanqing Zeng
Viktor Prasanna
GNN
359
33
0
02 Feb 2023
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators
International Symposium on High-Performance Computer Architecture (HPCA), 2023
Mingi Yoo
Jaeyong Song
Jounghoo Lee
Namhyung Kim
Youngsok Kim
Jinho Lee
GNN
319
33
0
25 Jan 2023
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators
International Conference on Parallel Architectures and Compilation Techniques (PACT), 2022
Min-hee Yoo
Jaeyong Song
Hyeyoon Lee
Jounghoo Lee
Namhyung Kim
Youngsok Kim
Jinho Lee
GNN
318
5
0
24 Jan 2023
Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA
International Conference on Field-Programmable Logic and Applications (FPL), 2022
Bingyi Zhang
Rajgopal Kannan
Viktor Prasanna
Carl E. Busart
217
23
0
04 Jan 2023
A Comprehensive Survey on Distributed Training of Graph Neural Networks
Proceedings of the IEEE (Proc. IEEE), 2022
Haiyang Lin
Yurui Lai
Xiaochun Ye
Xiaochun Ye
Shirui Pan
Wenguang Chen
Yuan Xie
GNN
368
43
0
10 Nov 2022
GNN at the Edge: Cost-Efficient Graph Neural Network Processing over Distributed Edge Servers
IEEE Journal on Selected Areas in Communications (JSAC), 2022
Liekang Zeng
Chong Yang
Peng Huang
Zhi Zhou
Shuai Yu
Xu Chen
GNN
242
47
0
31 Oct 2022
gSuite: A Flexible and Framework Independent Benchmark Suite for Graph Neural Network Inference on GPUs
IEEE International Symposium on Workload Characterization (IISWC), 2022
Taha Tekdogan
Serkan Göktas
Ayse Yilmazer-Metin
285
0
0
20 Oct 2022
Bottleneck Analysis of Dynamic Graph Neural Network Inference on CPU and GPU
IEEE International Symposium on Workload Characterization (IISWC), 2022
Han-Chen Chen
Yahya Alhinai
Yihan Jiang
Eunjee Na
Cong Hao
GNN
AI4CE
297
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08 Oct 2022
LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics
ACM Transactions on Embedded Computing Systems (TECS), 2022
Zhiqiang Que
Hongxiang Fan
Marcus Loo
He Li
Michaela Blott
M. Pierini
A. Tapper
Wayne Luk
GNN
658
26
0
28 Sep 2022
Neural Graph Databases
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Maciej Besta
Patrick Iff
Florian Scheidl
Kazuki Osawa
Nikoli Dryden
Michal Podstawski
Tiancheng Chen
Torsten Hoefler
AI4CE
272
13
0
20 Sep 2022
MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms
USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2022
Yuke Wang
Boyuan Feng
Zheng Wang
Tong Geng
Kevin J. Barker
Ang Li
Yufei Ding
GNN
317
45
0
14 Sep 2022
Hardware Acceleration of Sampling Algorithms in Sample and Aggregate Graph Neural Networks
Yuchen Gui
Boyi Wei
W. Yuan
Xi Jin
GNN
207
1
0
07 Sep 2022
Characterizing and Understanding HGNNs on GPUs
IEEE computer architecture letters (CAL), 2022
Yurui Lai
Mo Zou
Xiaocheng Yang
Wenming Li
Xiaochun Ye
Xiaochun Ye
Yuan Xie
GNN
107
19
0
09 Aug 2022
Analysis and Optimization of GNN-Based Recommender Systems on Persistent Memory
Yuwei Hu
Jiajie Li
Zhongming Yu
Zhiru Zhang
GNN
273
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0
25 Jul 2022
H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture
International Conference on Field-Programmable Logic and Applications (FPL), 2022
Chengming Zhang
Tong Geng
Anqi Guo
Jiannan Tian
Martin C. Herbordt
Ang Li
Dingwen Tao
GNN
195
39
0
28 Jun 2022
Low-latency Mini-batch GNN Inference on CPU-FPGA Heterogeneous Platform
International Conference on High Performance Computing (HiPC), 2022
Bingyi Zhang
Hanqing Zeng
Viktor Prasanna
GNN
262
18
0
17 Jun 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Maciej Besta
Torsten Hoefler
GNN
592
82
0
19 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Proceedings of the IEEE (Proc. IEEE), 2022
He Zhang
Bang Wu
Lizhen Qu
Shirui Pan
Hanghang Tong
Jian Pei
438
165
0
16 May 2022
COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks
IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JESTCAS), 2022
Sumit K. Mandal
Gokul Krishnan
A. Alper Goksoy
Gopikrishnan R. Nair
Yu Cao
Ümit Y. Ogras
GNN
278
15
0
15 May 2022
SmartSAGE: Training Large-scale Graph Neural Networks using In-Storage Processing Architectures
International Symposium on Computer Architecture (ISCA), 2022
Yunjae Lee
Jin-Won Chung
Minsoo Rhu
GNN
271
69
0
10 May 2022
FlowGNN: A Dataflow Architecture for Real-Time Workload-Agnostic Graph Neural Network Inference
International Symposium on High-Performance Computer Architecture (HPCA), 2022
Rishov Sarkar
Stefan Abi-Karam
Yuqiang He
Lakshmi Sathidevi
Cong Hao
AI4CE
GNN
302
52
0
27 Apr 2022
Characterizing and Understanding Distributed GNN Training on GPUs
IEEE computer architecture letters (CAL), 2022
Haiyang Lin
Yurui Lai
Xiaocheng Yang
Mo Zou
Wenming Li
Xiaochun Ye
Xiaochun Ye
GNN
126
14
0
18 Apr 2022
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges
S. Thais
P. Calafiura
G. Chachamis
G. Dezoort
Javier Mauricio Duarte
S. Ganguly
Michael Kagan
D. Murnane
Mark S. Neubauer
K. Terao
PINN
AI4CE
369
40
0
23 Mar 2022
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA
IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2022
Hongkuan Zhou
Bingyi Zhang
Rajgopal Kannan
Viktor Prasanna
Carl E. Busart
GNN
197
27
0
10 Mar 2022
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