Concepedia

FP-GNN: Adaptive FPGA accelerator for Graph Neural Networks

Teng Tian, Letian Zhao, Xiaotian Wang, Qizhe Wu, Wei Yuan, Xi Jin

Future Generation Computer Systems · 2022 · 30 citations · 12 references

Concepts

EngineeringComputer EngineeringComputer ScienceComputer ArchitectureField-programmable Gate ArraysReconfigurable ComputingAccelerator ArchitectureDeep LearningFpga ArchitectureGraph-based LearningHardware AccelerationReconfigurable AcceleratorsAdaptive Accelerator DesignDeep Learning AccelerationDeep Learning AcceleratorsGraph Neural NetworksGraph Processing

References

12

Deep Residual Learning for Image Recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · 2016 · 222.1K citations · Full text

Computing, Computer Science, Computer Vision +11

MizAR 60 for Mizar 50

DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2023 · 76.3K citations · Full text

Computing, Computer Science, Computational Linguistics +14

T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction

Ling Zhao, Yujiao Song, Chao Zhang et al. · IEEE Transactions on Intelligent Transportation Systems · 2019 · 3.2K citations · Full text

Computing, Data Science, Forecasting +16

Relational inductive biases, deep learning, and graph networks

arXiv (Cornell University) · 2018 · 2.4K citations · Full text

Computing, Computer Science, Artificial Intelligence +14

Graph neural network for traffic forecasting: A survey

Weiwei Jiang, Jiayun Luo · Expert Systems with Applications · 2022 · 1.2K citations · Full text

Computing, Data Science, Forecasting +13