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FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure
  Graph Perspective

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective

10 November 2023
Kun Yi
Qi Zhang
Wei Fan
Hui He
Liang Hu
Pengyang Wang
Ning An
Longbin Cao
ZhenDong Niu
    AI4TS
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Papers citing "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"

50 / 54 papers shown
Title
OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain
OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain
Wenzhen Yue
Yong Liu
Haoxuan Li
Hao Wang
Xianghua Ying
Ruohao Guo
Bowei Xing
Ji Shi
AI4TS
OOD
34
0
0
12 May 2025
STRGCN: Capturing Asynchronous Spatio-Temporal Dependencies for Irregular Multivariate Time Series Forecasting
STRGCN: Capturing Asynchronous Spatio-Temporal Dependencies for Irregular Multivariate Time Series Forecasting
Y. Wang
Xiaofeng Hu
Xiaojian Cui
Kai Wang
AI4TS
26
0
0
07 May 2025
Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting
Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting
Chengsen Wang
Q. Qi
Yufei Guo
Haifeng Sun
Zirui Zhuang
J. Liao
AI4TS
45
0
0
01 May 2025
Reducing Smoothness with Expressive Memory Enhanced Hierarchical Graph Neural Networks
Reducing Smoothness with Expressive Memory Enhanced Hierarchical Graph Neural Networks
Thomas Bailie
Yun Sing Koh
S. Karthik Mukkavilli
V. Vetrova
AI4TS
48
0
0
01 Apr 2025
FourierSR: A Fourier Token-based Plugin for Efficient Image Super-Resolution
Wenjie Li
Heng Guo
Yuefeng Hou
Zhanyu Ma
36
0
0
13 Mar 2025
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning
Minbo Ma
Kai Tang
Huan Li
Fei Teng
Dalin Zhang
Tianrui Li
AI4TS
44
0
0
24 Feb 2025
ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series Forecasting
ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series Forecasting
Guoqi Yu
Yaoming Li
Juncheng Wang
Xiaoyu Guo
Angelica I. Aviles-Rivero
Tong Yang
Shujun Wang
AI4TS
44
0
0
24 Feb 2025
Graph Neural Network-based Spectral Filtering Mechanism for Imbalance Classification in Network Digital Twin
Graph Neural Network-based Spectral Filtering Mechanism for Imbalance Classification in Network Digital Twin
Abubakar Isah
I. Aliyu
Sulaiman Muhammad Rashid
Jaehyung Park
Minsoo Hahn
Jinsul Kim
27
0
0
17 Feb 2025
ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models
ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models
Shixuan Li
Wei Yang
Peiyu Zhang
Xiongye Xiao
Defu Cao
Yuehan Qin
Xuzhi Zhang
Yue Zhao
Paul Bogdan
87
1
0
16 Feb 2025
MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification
MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification
Wei Fan
Jingru Fei
Dingyu Guo
Kun Yi
Xiaozhuang Song
Haolong Xiang
Hangting Ye
Min Li
AI4TS
93
1
0
06 Feb 2025
Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction
Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction
Ruochen Li
Tanqiu Qiao
Stamos Katsigiannis
Zhanxing Zhu
Hubert P. H. Shum
AI4TS
68
1
0
04 Feb 2025
Enhancing Web Service Anomaly Detection via Fine-grained Multi-modal Association and Frequency Domain Analysis
Enhancing Web Service Anomaly Detection via Fine-grained Multi-modal Association and Frequency Domain Analysis
Xixuan Yang
Xin Huang
Chiming Duan
Tong Jia
Shandong Dong
Ying Li
Gang Huang
59
0
0
28 Jan 2025
Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method
Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method
Daojun Liang
Haixia Zhang
Dongfeng Yuan
AI4TS
40
0
0
09 Jan 2025
A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in
  Time Series
A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in Time Series
Xiangkai Ma
Xiaobin Hong
Wenzhong Li
Sanglu Lu
AI4TS
64
0
0
01 Dec 2024
Act Now: A Novel Online Forecasting Framework for Large-Scale Streaming
  Data
Act Now: A Novel Online Forecasting Framework for Large-Scale Streaming Data
Daojun Liang
Haixia Zhang
Jing Wang
Dongfeng Yuan
Minggao Zhang
AI4TS
86
0
0
28 Nov 2024
DualCast: Disentangling Aperiodic Events from Traffic Series with a
  Dual-Branch Model
DualCast: Disentangling Aperiodic Events from Traffic Series with a Dual-Branch Model
Xinyu Su
Feng Liu
Yanchuan Chang
E. Tanin
Majid Sarvi
Jianzhong Qi
AI4TS
77
0
0
27 Nov 2024
MFF-FTNet: Multi-scale Feature Fusion across Frequency and Temporal
  Domains for Time Series Forecasting
MFF-FTNet: Multi-scale Feature Fusion across Frequency and Temporal Domains for Time Series Forecasting
Yangyang Shi
Qianqian Ren
Yong Liu
Jianguo Sun
AI4TS
69
0
0
26 Nov 2024
UnityGraph: Unified Learning of Spatio-temporal features for
  Multi-person Motion Prediction
UnityGraph: Unified Learning of Spatio-temporal features for Multi-person Motion Prediction
Kehua Qu
Rui Ding
Jin Tang
3DH
31
0
0
06 Nov 2024
Relation Learning and Aggregate-attention for Multi-person Motion
  Prediction
Relation Learning and Aggregate-attention for Multi-person Motion Prediction
Kehua Qu
Rui Ding
Jin Tang
3DH
42
0
0
06 Nov 2024
FilterNet: Harnessing Frequency Filters for Time Series Forecasting
FilterNet: Harnessing Frequency Filters for Time Series Forecasting
Kun Yi
Jingru Fei
Qi Zhang
Hui He
Shufeng Hao
Defu Lian
Wei Fan
AI4TS
51
10
0
03 Nov 2024
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting
LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting
Guoqi Yu
Yaoming Li
Xiaoyu Guo
Dayu Wang
Zirui Liu
Shujun Wang
Tong Yang
AI4TS
138
0
0
22 Oct 2024
Neural Fourier Modelling: A Highly Compact Approach to Time-Series
  Analysis
Neural Fourier Modelling: A Highly Compact Approach to Time-Series Analysis
Minjung Kim
Yusuke Hioka
Michael Witbrock
AI4TS
32
0
0
07 Oct 2024
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A
  Global-Local Fusion Perspective
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective
Chengsen Wang
Qi Qi
Jingyu Wang
Haifeng Sun
Zirui Zhuang
Jinming Wu
Jianxin Liao
AI4TS
26
8
0
27 Sep 2024
PGN: The RNN's New Successor is Effective for Long-Range Time Series
  Forecasting
PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting
Yuxin Jia
Youfang Lin
Jing Yu
Shuo Wang
Tianhao Liu
Huaiyu Wan
AI4TS
37
1
0
26 Sep 2024
Spatiotemporal Covariance Neural Networks
Spatiotemporal Covariance Neural Networks
Andrea Cavallo
Mohammad Sabbaqi
Elvin Isufi
29
3
0
16 Sep 2024
Agentic Retrieval-Augmented Generation for Time Series Analysis
Agentic Retrieval-Augmented Generation for Time Series Analysis
Chidaksh Ravuru
Sagar Srinivas Sakhinana
Venkataramana Runkana
AI4TS
34
5
0
18 Aug 2024
Multi-View Neural Differential Equations for Continuous-Time Stream Data
  in Long-Term Traffic Forecasting
Multi-View Neural Differential Equations for Continuous-Time Stream Data in Long-Term Traffic Forecasting
Zibo Liu
Zhe Jiang
Shigang Chen
AI4TS
32
0
0
12 Aug 2024
Scalable Transformer for High Dimensional Multivariate Time Series
  Forecasting
Scalable Transformer for High Dimensional Multivariate Time Series Forecasting
Xin Zhou
Weiqing Wang
Wray L. Buntine
Shilin Qu
Abishek Sriramulu
Weicong Tan
Christoph Bergmeir
AI4TS
50
1
0
08 Aug 2024
Spatio-Temporal Partial Sensing Forecast for Long-term Traffic
Spatio-Temporal Partial Sensing Forecast for Long-term Traffic
Zibo Liu
Zhe Jiang
Zelin Xu
Tingsong Xiao
Zhengkun Xiao
Haibo Wang
Shigang Chen
AI4TS
42
0
0
02 Aug 2024
RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for
  Academic Reviewer Recommendation
RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation
Weibin Liao
Yifan Zhu
Yanyan Li
Qi Zhang
Zhonghong Ou
Xuesong Li
28
4
0
30 Jul 2024
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of
  Brain Networks
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks
Jiaxing Miao
Liang Hu
Qi Zhang
LongBing Cao
CLL
51
0
0
27 Jul 2024
Robust Multivariate Time Series Forecasting against Intra- and
  Inter-Series Transitional Shift
Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift
Hui He
Qi Zhang
Kun Yi
Xiaojun Xue
Shoujin Wang
Liang Hu
Longbin Cao
OOD
AI4TS
63
0
0
18 Jul 2024
Not All Frequencies Are Created Equal:Towards a Dynamic Fusion of
  Frequencies in Time-Series Forecasting
Not All Frequencies Are Created Equal:Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting
Xingyu Zhang
Siyu Zhao
Zeen Song
Huijie Guo
Jianqi Zhang
Changwen Zheng
Wenwen Qiang
AI4TS
32
4
0
17 Jul 2024
Deep Frequency Derivative Learning for Non-stationary Time Series
  Forecasting
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting
Wei Fan
Kun Yi
Hangting Ye
Zhiyuan Ning
Qi Zhang
Ning An
AI4TS
46
9
0
29 Jun 2024
DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting
DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting
Yuxuan Shu
Vasileios Lampos
AI4TS
AI4CE
70
0
0
11 Jun 2024
ForecastGrapher: Redefining Multivariate Time Series Forecasting with
  Graph Neural Networks
ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks
Wanlin Cai
Kun Wang
Hao Wu
Xiaoxu Chen
Yuankai Wu
AI4TS
24
0
0
28 May 2024
MambaTS: Improved Selective State Space Models for Long-term Time Series
  Forecasting
MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting
Xiuding Cai
Yaoyao Zhu
Xueyao Wang
Yu Yao
Mamba
AI4TS
38
7
0
26 May 2024
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable
  for Variable Missing
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing
Chengqing Yu
Fei Wang
Zezhi Shao
Tangwen Qian
Zhao Zhang
Wei Wei
Yongjun Xu
AI4CE
36
17
0
18 May 2024
Revisiting Multimodal Emotion Recognition in Conversation from the
  Perspective of Graph Spectrum
Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum
Tao Meng
Fuchen Zhang
Yuntao Shou
Wei Ai
Nan Yin
Keqin Li
39
21
0
27 Apr 2024
Physics-Enhanced Graph Neural Networks For Soft Sensing in Industrial
  Internet of Things
Physics-Enhanced Graph Neural Networks For Soft Sensing in Industrial Internet of Things
Keivan Faghih Niresi
Hugo Bissig
Henri Baumann
Olga Fink
AI4CE
46
2
0
11 Apr 2024
Heracles: A Hybrid SSM-Transformer Model for High-Resolution Image and
  Time-Series Analysis
Heracles: A Hybrid SSM-Transformer Model for High-Resolution Image and Time-Series Analysis
Badri N. Patro
Suhas Ranganath
Vinay P. Namboodiri
Vijay Srinivas Agneeswaran
43
2
0
26 Mar 2024
SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate
  Time series
SiMBA: Simplified Mamba-Based Architecture for Vision and Multivariate Time series
Badri N. Patro
Vijay Srinivas Agneeswaran
Mamba
59
50
0
22 Mar 2024
Deep Coupling Network For Multivariate Time Series Forecasting
Deep Coupling Network For Multivariate Time Series Forecasting
Kun Yi
Qi Zhang
Hui He
Kaize Shi
Liang Hu
Ning An
ZhenDong Niu
AI4TS
44
5
0
23 Feb 2024
Revitalizing Multivariate Time Series Forecasting: Learnable
  Decomposition with Inter-Series Dependencies and Intra-Series Variations
  Modeling
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling
Guoqi Yu
Jing Zou
Xiaowei Hu
Angelica I. Aviles-Rivero
Jing Qin
Shujun Wang
AI4TS
35
13
0
20 Feb 2024
FreDF: Learning to Forecast in the Frequency Domain
FreDF: Learning to Forecast in the Frequency Domain
Hao Wang
Licheng Pan
Zhichao Chen
Degui Yang
Sen Zhang
Yifei Yang
Xinggao Liu
Haoxuan Li
Dacheng Tao
AI4TS
62
14
0
04 Feb 2024
Rethinking Channel Dependence for Multivariate Time Series Forecasting:
  Learning from Leading Indicators
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators
Lifan Zhao
Yanyan Shen
AI4TS
AIFin
41
12
0
31 Jan 2024
Frequency Spectrum is More Effective for Multimodal Representation and
  Fusion: A Multimodal Spectrum Rumor Detector
Frequency Spectrum is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector
An Lao
Qi Zhang
Chongyang Shi
LongBing Cao
Kun Yi
Liang Hu
Duoqian Miao
42
20
0
18 Dec 2023
A physics-informed and attention-based graph learning approach for
  regional electric vehicle charging demand prediction
A physics-informed and attention-based graph learning approach for regional electric vehicle charging demand prediction
Haohao Qu
Haoxuan Kuang
Jun Li
Linlin You
GNN
19
19
0
11 Sep 2023
Irregular Traffic Time Series Forecasting Based on Asynchronous
  Spatio-Temporal Graph Convolutional Network
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network
Weijia Zhang
Le Zhang
Jindong Han
Hao Liu
Jingbo Zhou
Yu Mei
Hui Xiong
GNN
AI4TS
38
10
0
31 Aug 2023
A Survey on Deep Learning based Time Series Analysis with Frequency Transformation
A Survey on Deep Learning based Time Series Analysis with Frequency Transformation
Kun Yi
Qi Zhang
LongBing Cao
Shoujin Wang
Guodong Long
Liang Hu
Hui He
ZhenDong Niu
Wei Fan
Hui Xiong
AI4TS
57
21
0
04 Feb 2023
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