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

Multi-scale graph classification with shared graph neural network

(2022) Peng Zhou et al.   WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS

One Size Does Not Fit All

(2021) Dhrubojyoti Roy et al.   ACM Transactions on Sensor Networks

Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis

(2021) Chainarong Amornbunchornvej et al.   ACM Transactions on Knowledge Discovery from Data

Image Co-Saliency Detection and Instance Co-Segmentation Using Attention Graph Clustering Based Graph Convolutional Network

(2021) Tengpeng Li et al.   IEEE TRANSACTIONS ON MULTIMEDIA

MTHetGNN: A heterogeneous graph embedding framework for multivariate time series forecasting

(2021) Yueyang Wang et al.   PATTERN RECOGNITION LETTERS

Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting

(2021) Shengnan Guo et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A Multiscale Interactive Recurrent Network for Time-Series Forecasting

(2021) Donghui Chen et al.   IEEE Transactions on Cybernetics

A Comprehensive Survey on Graph Neural Networks

(2020) Zonghan Wu et al.   IEEE Transactions on Neural Networks and Learning Systems

Spatio-Temporal Meta Learning for Urban Traffic Prediction

(2020) Zheyi Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Graph Attention Spatial-Temporal Network With Collaborative Global-Local Learning for Citywide Mobile Traffic Prediction

(2020) Kaiwen He et al.   IEEE TRANSACTIONS ON MOBILE COMPUTING

Temporal pattern attention for multivariate time series forecasting

(2019) Shun-Yao Shih et al.   MACHINE LEARNING