The following publications are possibly variants of this publication:
- I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through IslandizationTong Geng, Chunshu Wu, Yongan Zhang, Cheng Tan 0002, Chenhao Xie 0001, Haoran You, Martin C. Herbordt, Yingyan Lin, Ang Li. micro 2021: 1051-1063 [doi]
- SGCNAX: A Scalable Graph Convolutional Neural Network Accelerator With Workload BalancingJiajun Li, Hao Zheng 0005, Ke Wang 0030, Ahmed Louri. tpds, 33(11):2834-2845, 2022. [doi]
- LW-GCN: A Lightweight FPGA-based Graph Convolutional Network AcceleratorZhuofu Tao, Chen Wu, Yuan Liang, Kun Wang 0005, Lei He 0001. trets, 16(1), March 2023. [doi]
- H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP ArchitectureChengming Zhang 0006, Tong Geng, Anqi Guo, Jiannan Tian, Martin C. Herbordt, Ang Lit, Dingwen Tao. fpl 2022: 200-208 [doi]
- DCIM-GCN: Digital Computing-in-Memory Accelerator for Graph Convolutional NetworkYufei Ma 0002, Yikan Qiu, Wentao Zhao, Guoxiang Li, Meng Wu, Tianyu Jia, Le Ye, Ru Huang 0001. tcasI, 71(6):2735-2748, June 2024. [doi]
- Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution NetworksXi Xie, Hongwu Peng, Md Amit Hasan, Shaoyi Huang, Jiahui Zhao, Haowen Fang, Wei Zhang, Tong Geng, Omer Khan, Caiwen Ding. iccad 2023: 1-9 [doi]