Sparsification and Filtering for Spatial-temporal GNN in Multivariate Time-series

8 March 2022

Papers citing "Sparsification and Filtering for Spatial-temporal GNN in Multivariate Time-series"

8 / 8 papers shown

Title
DynaGraph: Interpretable Multi-Label Prediction from EHRs via Dynamic Graph Learning and Contrastive Augmentation Munib Mesinovic Soheila Molaei Peter Watkinson Tingting Zhu AI4TS 36 0 0 28 Mar 2025
Deep Limit Order Book Forecasting Antonio Briola Silvia Bartolucci T. Aste 43 3 0 14 Mar 2024
Mitigating Cold-start Forecasting using Cold Causal Demand Forecasting Model Zahra Fatemi Minh-Thu T. Huynh Elena Zheleva Zamir Syed Xiaojun Di AI4TS 18 3 0 15 Jun 2023
Topological Feature Selection Antonio Briola T. Aste 31 3 0 19 Feb 2023
Domain-adapted Learning and Imitation: DRL for Power Arbitrage Yuanrong Wang Vigneshwaran Swaminathan Nikita P. Granger Carlos Ros Perez C. Michler 18 0 0 19 Jan 2023
wsGAT: Weighted and Signed Graph Attention Networks for Link Prediction Marco Grassia G. Mangioni 38 13 0 21 Sep 2021
Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis Daiki Matsunaga Toyotaro Suzumura Toshihiro Takahashi AIFin 38 82 0 24 Sep 2019
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 233 7,904 0 13 Jun 2015