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Yuxuan Liang
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Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey


Mar 25, 2023
Guangyin Jin, Yuxuan Liang, Yuchen Fang, Jincai Huang, Junbo Zhang, Yu Zheng

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DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models


Jan 31, 2023
Haomin Wen, Youfang Lin, Yutong Xia, Huaiyu Wan, Roger Zimmermann, Yuxuan Liang

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Do We Really Need Graph Neural Networks for Traffic Forecasting?


Jan 30, 2023
Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann

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AirFormer: Predicting Nationwide Air Quality in China with Transformers


Nov 29, 2022
Yuxuan Liang, Yutong Xia, Songyu Ke, Yiwei Wang, Qingsong Wen, Junbo Zhang, Yu Zheng, Roger Zimmermann

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* Published at AAAI-23 
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Contrastive Trajectory Similarity Learning with Dual-Feature Attention


Oct 11, 2022
Yanchuan Chang, Jianzhong Qi, Yuxuan Liang, Egemen Tanin

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Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation


Jul 12, 2022
Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li

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* Published as a KDD'22 full paper 
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VECtor: A Versatile Event-Centric Benchmark for Multi-Sensor SLAM


Jul 04, 2022
Ling Gao, Yuxuan Liang, Jiaqi Yang, Shaoxun Wu, Chenyu Wang, Jiaben Chen, Laurent Kneip

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* IEEE Robotics and Automation Letters, 2022 
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GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction


May 08, 2022
Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Bryan Hooi

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* NAACL 2022 (Findings) 
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Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis


May 08, 2022
Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi

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* NAACL 2022 
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Time-Aware Neighbor Sampling for Temporal Graph Networks


Dec 18, 2021
Yiwei Wang, Yujun Cai, Yuxuan Liang, Henghui Ding, Changhu Wang, Bryan Hooi

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