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Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series
  Forecasting

Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting

13 January 2022
Ling-Hao Chen
Donghui Chen
Zongjiang Shang
Binqing Wu
Cen Zheng
Bo Wen
Wei Zhang
    AI4TS
    AI4CE
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Papers citing "Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting"

19 / 19 papers shown
Title
Knowledge-enhanced Transformer for Multivariate Long Sequence Time-series Forecasting
Shubham Tanaji Kakde
Rony Mitra
Jasashwi Mandal
Manoj Kumar Tiwari
KELM
AI4TS
28
0
0
17 Nov 2024
Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series
  Forecasting
Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting
Zongjiang Shang
Ling Chen
Binqing Wu
Dongliang Cui
AI4TS
AI4CE
31
1
0
31 Oct 2024
DuoGNN: Topology-aware Graph Neural Network with Homophily and
  Heterophily Interaction-Decoupling
DuoGNN: Topology-aware Graph Neural Network with Homophily and Heterophily Interaction-Decoupling
K. Mancini
I. Rekik
40
1
0
29 Sep 2024
Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime
  Prediction
Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction
Ziyang Wu
Fan Liu
Jindong Han
Yuxuan Liang
Hao Liu
26
2
0
24 Sep 2024
MotifDisco: Motif Causal Discovery For Time Series Motifs
MotifDisco: Motif Causal Discovery For Time Series Motifs
Josephine Lamp
M. Derdzinski
Christopher Hannemann
Sam Hatfield
Joost van der Linden
CML
AI4TS
BDL
28
0
0
23 Sep 2024
FAITH: Frequency-domain Attention In Two Horizons for Time Series
  Forecasting
FAITH: Frequency-domain Attention In Two Horizons for Time Series Forecasting
Ruiqi Li
Maowei Jiang
Kai-Ming Wang
Kaiduo Feng
Quangao Liu
Yue Sun
Xiufang Zhou
AI4TS
35
1
0
22 May 2024
Optimizing Sales Forecasts through Automated Integration of Market
  Indicators
Optimizing Sales Forecasts through Automated Integration of Market Indicators
Lina Döring
Felix Grumbach
Pascal Reusch
11
0
0
15 May 2024
Temporal and Heterogeneous Graph Neural Network for Remaining Useful
  Life Prediction
Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction
Zhihao Wen
Yuan Fang
Pengcheng Wei
Fayao Liu
Zhenghua Chen
Min-man Wu
AI4CE
30
2
0
07 May 2024
Exploiting Individual Graph Structures to Enhance Ecological Momentary
  Assessment (EMA) Forecasting
Exploiting Individual Graph Structures to Enhance Ecological Momentary Assessment (EMA) Forecasting
Mandani Ntekouli
Gerasimos Spanakis
L. Waldorp
A. Roefs
22
0
0
28 Mar 2024
D-PAD: Deep-Shallow Multi-Frequency Patterns Disentangling for Time
  Series Forecasting
D-PAD: Deep-Shallow Multi-Frequency Patterns Disentangling for Time Series Forecasting
Xiaobing Yuan
Ling Chen
AI4TS
23
0
0
26 Mar 2024
ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks
ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks
Zhaoliang Chen
Zhihao Wu
Ylli Sadikaj
Claudia Plant
Hong-Ning Dai
Shiping Wang
Wenzhong Guo
AAML
40
0
0
14 Mar 2024
Graph-based Forecasting with Missing Data through Spatiotemporal
  Downsampling
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling
Ivan Marisca
C. Alippi
F. Bianchi
AI4TS
34
8
0
16 Feb 2024
MSHyper: Multi-Scale Hypergraph Transformer for Long-Range Time Series
  Forecasting
MSHyper: Multi-Scale Hypergraph Transformer for Long-Range Time Series Forecasting
Zongjiang Shang
Ling Chen
AI4TS
32
3
0
17 Jan 2024
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for
  Long-Term Forecasting
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting
Shubao Zhao
Ming Jin
Zhaoxiang Hou
Che-Sheng Yang
Zengxiang Li
Qingsong Wen
Yi Wang
22
2
0
10 Jan 2024
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data
Yucheng Wang
Yuecong Xu
Jianfei Yang
Min-man Wu
Xiaoli Li
Lihua Xie
Zhenghua Chen
AI4TS
34
37
0
11 Sep 2023
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
Zhichen Lai
Dalin Zhang
Huan Li
Christian S. Jensen
Hua Lu
Yan Zhao
AI4TS
27
29
0
23 Feb 2023
Enhancing the Robustness via Adversarial Learning and Joint
  Spatial-Temporal Embeddings in Traffic Forecasting
Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting
Juyong Jiang
Binqing Wu
Ling-Hao Chen
Kai Zhang
Sunghun Kim
AI4TS
30
18
0
05 Aug 2022
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series
  Forecasting
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting
Amin Shabani
A. Abdi
Li Meng
Tristan Sylvain
AI4TS
22
61
0
08 Jun 2022
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood
  Prediction
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
Eli Chien
Wei-Cheng Chang
Cho-Jui Hsieh
Hsiang-Fu Yu
Jiong Zhang
O. Milenkovic
Inderjit S Dhillon
152
130
0
29 Oct 2021
1