no code implementations • 12 May 2022 • Qianggang Ding, Deheng Ye, Tingyang Xu, Peilin Zhao
To the best of our knowledge, our method is the first GNN-based bilevel optimization framework for resolving this task.
1 code implementation • NeurIPS 2020 • Sifan Wu, Xi Xiao, Qianggang Ding, Peilin Zhao, Ying WEI, Junzhou Huang
Specifically, AST adopts a Sparse Transformer as the generator to learn a sparse attention map for time series forecasting, and uses a discriminator to improve the prediction performance from sequence level.
Multivariate Time Series Forecasting Probabilistic Time Series Forecasting +1
1 code implementation • NeurIPS 2020 • Chaochao Yan, Qianggang Ding, Peilin Zhao, Shuangjia Zheng, Jinyu Yang, Yang Yu, Junzhou Huang
Retrosynthesis is the process of recursively decomposing target molecules into available building blocks.
no code implementations • 15 Aug 2019 • Qianggang Ding, Sifan Wu, Hao Sun, Jiadong Guo, Shu-Tao Xia
In addition, label regularization techniques such as label smoothing and label disturbance have also been proposed with the motivation of adding a stochastic perturbation to labels.