【AAAI 2022】时空数据挖掘论文

对AAAI 2022的录用论文进行了整理，筛选出其中与时空数据挖掘相关论文，并进行任务分类。

AAAI 2022录用论文列表：
https://aaai.org/Conferences/AAAI-22/wp-content/uploads/2021/12/AAAI-22_Accepted_Paper_List_Main_Technical_Track.pdf

全文还没有放出来，如果需要，可以在谷歌学术上查找，部分论文已经放在arXiv上。

Traffic forecasting

1. STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction. Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jiawei Jiang, Hu Zhang
2. Graph Neural Controlled Differential Equations for Traffic Forecasting. Jeongwhan Choi, Hwangyong Choi, Jeehyun Hwang, Noseong Park

Traffic assignment

1. Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment. Lukas Graf, Tobias Harks, Kostas Kollias, Michael Markl

Trajectory prediction

1. Social Interpretable Tree for Pedestrian Trajectory Prediction. Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Fang Zheng, Nanning Zheng, Gang Hua
2. Complementary Attention Gated Network for Pedestrian Trajectory Prediction. Jinghai Duan, Le Wang, Chengjiang Long, Sanping Zhou, Fang Zheng, Liushuai Shi, Gang Hua

Meteorological forecasting

1. Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting Haitao Lin, Zhangyang Gao, Yongjie Xu, Lirong Wu, Ling Li, Stan Z. Li
2. Learning and Dynamical Models for Sub-Seasonal Climate Forecasting: Comparison and Collaboration. Sijie He, Xinyan Li, Laurie Trenary, Benjamin A. Cash, Timothy DelSole, Arindam Banerjee

Driver-request assignment

1. Real-Time Driver-Request Assignment in Ridesourcing. Hao Wang, Xiaohui Bei

Time-series anomaly detection

1. Towards a Rigorous Evaluation of Time-Series Anomaly Detection. Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon

Spatiotemporal Graph

1. Disentangled Spatiotemporal Graph Generative Model. Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Zhao Liang

Urban crime prediction

1. Multi-Type Urban Crime Prediction. Xiangyu Zhao, Wenqi Fan, Hui Liu, Jiliang Tang
2. HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting. Chenyu Wang, Zongyu Lin, Xiaochen Yang, Jiao Sun, Mingxuan Yue, Cyrus Shahabi

Time series forecasting

1. CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting. Hui He, Qi Zhang, Simeng Bai, Kun Yi, Zhendong Niu
2. Reinforcement Learning based Dynamic Model Combination for Time Series Forecasting. Yuwei Fu, Di Wu, Benoit Boulet

Spatio-temporal patterns modeling

1. SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss. Konstantin Klemmer, Tianlin Xu, Beatrice Acciaio, Daniel B. Neill

Time series representation

1. TS2Vec: Towards Universal Representation of Time Series. Zhihan Yue, Yujing Wang, Juanyong Duan, Tianmeng Yang, Congrui Huang, Yunhai Tong, Bixiong Xu

Extreme events modeling

1. DeepGPD: A Deep Learning Approach for Modeling Geospatio-Temporal Extreme Events. Tyler Wilson, Pang-Ning Tan, Lifeng Luo

Multimodal mobility nowcasting

1. Event-Aware Multimodal Mobility Nowcasting. Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki

Time series analysis and embedding

1. I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding. Sirisha Rambhatla, Zhengping Che, Yan Liu

Time series generation

1. Conditional Loss and Deep Euler Scheme for Time Series Generation. Carl Remlinger, Joseph Mikael, Romuald Elie

Air pollution monitoring

1. Bayesian Optimisation for Active Monitoring of Air Pollution. Sigrid Passano Hellan, Christopher G. Lucas, Nigel H. Goddard

Air quality inference

1. Accurate and Scalable Gaussian Processes for Fine-Grained Air Quality Inference. Zeel B Patel, Palak Purohit, Harsh Patel, Shivam Sahni, Nipun Batra

Epidemic forecasting

1. CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting. Lijing Wang, Aniruddha Adiga, Jiangzhuo Chen, Adam Sadilek, Srinivasan Venkatramanan, Madhav Marathe