Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning

28 August 2020

Jimeng Sun

Papers citing "Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning"

20 / 20 papers shown

Title
Integrating Quantum-Classical Attention in Patch Transformers for Enhanced Time Series Forecasting Sanjay Chakraborty Fredrik Heintz AI4TS AIFin 47 0 0 31 Mar 2025
SeqFusion: Sequential Fusion of Pre-Trained Models for Zero-Shot Time-Series Forecasting Ting Huang Xu-Yang Chen Han-Jia Ye AI4TS 45 1 0 04 Mar 2025
VN-Net: Vision-Numerical Fusion Graph Convolutional Network for Sparse Spatio-Temporal Meteorological Forecasting Yutong Xiong Xun Zhu Ming Wu Weiqing Li Fanbin Mo Chuang Zhang Bin Zhang AI4TS 14 1 0 26 Jan 2024
Enhancing Global Maritime Traffic Network Forecasting with Gravity-Inspired Deep Learning Models Ruixin Song Gabriel Spadon Ronald Pelot Stan Matwin Amílcar Soares 19 4 0 23 Jan 2024
Curricular and Cyclical Loss for Time Series Learning Strategy Chenxi Sun Hongyan Li Moxian Song D. Cai linda Qiao 30 1 0 26 Dec 2023
Multi-Path Long-Term Vessel Trajectories Forecasting with Probabilistic Feature Fusion for Problem Shifting Gabriel Spadon Jay Kumar Derek Eden Josh van Berkel Tom Foster Amílcar Soares Ronan Fablet Stan Matwin Ronald Pelot 37 4 0 29 Oct 2023
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity Yijun Li Cheuk Hang Leung Qi Wu AI4TS 21 1 0 15 Jun 2023
Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective Hui He Qi Zhang Shoujin Wang Kun Yi ZhenDong Niu Longbin Cao AI4TS 31 12 0 27 Jan 2023
CRU: A Novel Neural Architecture for Improving the Predictive Performance of Time-Series Data Sunghyun Sim Dohee Kim Hyerim Bae AI4TS 22 1 0 30 Nov 2022
Myopia prediction for adolescents via time-aware deep learning Junjia Huang Weizhong Ma Rongri Li Na Zhao Tao Zhou 23 0 0 26 Sep 2022
Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting Hui He Qi Zhang Kun Yi Kaize Shi ZhenDong Niu Longbin Cao TTA AI4TS 19 4 0 01 Sep 2022
From Cities to Series: Complex Networks and Deep Learning for Improved Spatial and Temporal Analytics* Gabriel Spadon José F. Rodrigues GNN HAI 24 0 0 01 Jun 2022
Unfolding AIS transmission behavior for vessel movement modeling on noisy data leveraging machine learning Gabriel Spadon M. D. Ferreira Amílcar Soares Stan Matwin 19 9 0 24 Feb 2022
TACTiS: Transformer-Attentional Copulas for Time Series Alexandre Drouin Étienne Marcotte Nicolas Chapados AI4TS 99 37 0 07 Feb 2022
Forecast-based Multi-aspect Framework for Multivariate Time-series Anomaly Detection Lan Wang Yusan Lin Yuhang Wu Huiyuan Chen Fei Wang Hao Yang AI4TS 21 5 0 13 Jan 2022
A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting Jinliang Deng Xiusi Chen Renhe Jiang Xuan Song Ivor W. Tsang AI4TS 41 33 0 02 Sep 2021
Spatiotemporal information conversion machine for time-series prediction Hao Peng Pei Chen Rui Liu Luonan Chen BDL 16 6 0 03 Jul 2021
Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation Lingbo Liu Yuying Zhu Guanbin Li Ziyi Wu Lei Bai Liang Lin AI4TS 42 31 0 02 Jul 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 169 3,885 0 14 Dec 2020
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 210 1,897 0 06 Jun 2016