Tt-gnn: Efficient on-chip graph neural network training via embedding reformation and hardware optimization Jan 1, 2023· Zheng Qu , Dimin Niu , Shuangchen Li , Hongzhong Zheng Prof. Yuan Xie · 0 min read Cite Type Conference paper Publication Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture Last updated on Jan 1, 2023 Authors Prof. Yuan Xie Chair Professor Fang Professor of Engineering | Chair Professor | IEEE/ACM/AAAS Fellow ← Spg: Structure-private graph database via squeezepir Jan 1, 2023 Adaptive ship-radiated noise recognition with learnable fine-grained wavelet transform Jan 1, 2022 →