Discrete Graph Structure Learning for Forecasting Multiple Time Series

18 January 2021

Jie Chen

Papers citing "Discrete Graph Structure Learning for Forecasting Multiple Time Series"

27 / 27 papers shown

Title
Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting Xinlong Zhao L. Zhang Tianbo Zou Yan Zhang AI4TS 26 0 0 01 May 2025
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster Kanghui Ning Zijie Pan Yu Liu Yushan Jiang J. Zhang Kashif Rasul Anderson Schneider Lintao Ma Yuriy Nevmyvaka Dongjin Song VLM AI4TS 52 1 0 06 Mar 2025
Strada-LLM: Graph LLM for traffic prediction Seyed Mohamad Moghadas Yangxintong Lyu Bruno Cornelis Alexandre Alahi Adrian Munteanu AI4TS 56 0 0 17 Feb 2025
UniFlow: A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction Yuan Yuan Jingtao Ding Chonghua Han Depeng Jin Yong Li Yong Li AI4TS AI4CE 84 2 0 20 Nov 2024
SDA-GRIN for Adaptive Spatial-Temporal Multivariate Time Series Imputation Amir Eskandari Aman Anand Drishti Sharma F. Zulkernine AI4TS 56 0 0 04 Oct 2024
SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces Jinhyeok Choi Heehyeon Kim Minhyeong An Joyce Jiyoung Whang Mamba 24 1 0 17 Jun 2024
Learning Latent Graph Structures and their Uncertainty A. Manenti Daniele Zambon C. Alippi BDL 30 1 0 30 May 2024
Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting Abishek Sriramulu Christoph Bergmeir Slawek Smyl AI4TS 21 0 0 12 May 2024
FairSTG: Countering performance heterogeneity via collaborative sample-level optimization Gengyu Lin Zhen-Qiang Zhou Qihe Huang Kuo Yang Shifen Cheng Yang Wang AI4TS 27 1 0 19 Mar 2024
Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting Minbo Ma Jilin Hu Christian S. Jensen Fei Teng Peng Han Zhiqiang Xu Tian-Jie Li AI4TS 44 3 0 27 Dec 2023
Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-time Dynamics Lanlan Chen K. Wu Jian Lou Jing Liu 23 6 0 18 Dec 2023
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis Zezhi Shao Fei Wang Yongjun Xu Wei Wei Chengqing Yu ... Guangyin Jin Xin Cao Gao Cong Christian S. Jensen Xueqi Cheng AI4TS 20 58 0 09 Oct 2023
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting Qian Ma Zijian Zhang Xiangyu Zhao Haoliang Li Hongwei Zhao Yiqi Wang Zitao Liu Wanyu Wang 18 12 0 20 Sep 2023
TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting Nancy R. Xu Chrysoula Kosma Michalis Vazirgiannis AI4TS AI4CE 35 6 0 27 Jul 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering Tianchun Wang F. Mirzazadeh X. Zhang Jing Chen BDL 40 7 0 26 May 2023
AutoSTL: Automated Spatio-Temporal Multi-Task Learning Zijian Zhang Xiangyu Zhao Hao Miao Chunxu Zhang Hongwei Zhao Junbo Zhang AI4TS 31 19 0 16 Apr 2023
Graph Convolutional Networks for Traffic Forecasting with Missing Values Jingwei Zuo K. Zeitouni Y. Taher Sandra García-Rodríguez GNN AI4TS 18 39 0 13 Dec 2022
A Mobility-Aware Deep Learning Model for Long-Term COVID-19 Pandemic Prediction and Policy Impact Analysis Danfeng Guo Zijie Huang Junheng Hao Yizhou Sun Wei Wang D. Terzopoulos 18 0 0 05 Dec 2022
Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting Zezhi Shao Zhao Zhang Fei Wang Yongjun Xu AI4TS 13 212 0 18 Jun 2022
Sparse Graph Learning from Spatiotemporal Time Series Andrea Cini Daniele Zambon C. Alippi CML AI4TS 37 18 0 26 May 2022
Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting Jiabin Tang Tang Qian Shikun Liu Shengdong Du Jie Hu Tianrui Li AI4TS 24 22 0 25 Feb 2022
Graph Data Augmentation for Graph Machine Learning: A Survey Tong Zhao Wei Jin Yozen Liu Yingheng Wang Gang Liu Stephan Günnemann Neil Shah Meng-Long Jiang OOD 30 79 0 17 Feb 2022
MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks R. Waleffe J. Mohoney Theodoros Rekatsinas Shivaram Venkataraman GNN 24 25 0 04 Feb 2022
Balanced Graph Structure Learning for Multivariate Time Series Forecasting Weijun Chen Yanze Wang Chengshuo Du Zhenglong Jia Feng Liu Ran Chen AI4TS 21 1 0 24 Jan 2022
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining Tim Kaler Nickolas Stathas Anne Ouyang A. Iliopoulos Tao B. Schardl C. E. Leiserson Jie Chen GNN 70 52 0 16 Oct 2021
Effective and Interpretable fMRI Analysis via Functional Brain Network Generation Xuan Kan Hejie Cui Y. Guo Carl Yang 14 6 0 23 Jul 2021
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 127 406 0 06 Mar 2017