Le Yu

According to our database, Le Yu authored at least 20 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Event-Based Dynamic Graph Representation Learning for Patent Application Trend Prediction.

Tao Zou, Le Yu, Leilei Sun, Bowen Du, Deqing Wang, Fuzhen Zhuang

IEEE Trans. Knowl. Data Eng., May, 2024

Continuous-Time User Preference Modelling for Temporal Sets Prediction.

Le Yu, Zihang Liu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv

IEEE Trans. Knowl. Data Eng., April, 2024

Multi-mode Spatial-Temporal Data Modeling with Fully Connected Networks.

Zihang Liu, Le Yu, Weimiao Li, Tongyu Zhu, Leilei Sun

Proceedings of the Knowledge Science, Engineering and Management, 2024

2023

Label-Enhanced Graph Neural Network for Semi-Supervised Node Classification.

Le Yu, Leilei Sun, Bowen Du, Tongyu Zhu, Weifeng Lv

IEEE Trans. Knowl. Data Eng., November, 2023

Heterogeneous Graph Representation Learning With Relation Awareness.

Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, Hui Xiong

IEEE Trans. Knowl. Data Eng., June, 2023

A Simple Framework for Multi-mode Spatial-Temporal Data Modeling.

Zihang Liu, Le Yu, Tongyu Zhu, Leilei Sun

CoRR, 2023

Adaptive Taxonomy Learning and Historical Patterns Modelling for Patent Classification.

Tao Zou, Le Yu, Leilei Sun, Bowen Du, Deqing Wang, Fuzhen Zhuang

CoRR, 2023

Towards Better Dynamic Graph Learning: New Architecture and Unified Library.

Le Yu, Leilei Sun, Bowen Du, Weifeng Lv

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Continuous-Time Graph Learning for Cascade Popularity Prediction.

Xiaodong Lu, Shuo Ji, Le Yu, Leilei Sun, Bowen Du, Tongyu Zhu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Pretraining Language Models with Text-Attributed Heterogeneous Graphs.

Tao Zou, Le Yu, Yifei Huang, Leilei Sun, Bowen Du

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Predicting Temporal Sets with Simplified Fully Connected Networks.

Le Yu, Zihang Liu, Tongyu Zhu, Leilei Sun, Bowen Du, Weifeng Lv

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Adaptive Spatio-temporal Graph Neural Network for traffic forecasting.

Xuxiang Ta, Zihan Liu, Xiao Hu, Le Yu, Leilei Sun, Bowen Du

Knowl. Based Syst., 2022

Modelling Evolutionary and Stationary User Preferences for Temporal Sets Prediction.

Le Yu, Zihang Liu, Tongyu Zhu, Leilei Sun, Bowen Du, Weifeng Lv

CoRR, 2022

Element-guided Temporal Graph Representation Learning for Temporal Sets Prediction.

Le Yu, Guanghui Wu, Leilei Sun, Bowen Du, Weifeng Lv

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021

Deep Heterogeneous Network for Temporal Set Prediction.

Nannan Shi, Le Yu, Leilei Sun, Lihua Wang, Chunming Lin, Ruixing Zhang

Knowl. Based Syst., 2021

Deep spatio-temporal graph convolutional network for traffic accident prediction.

Le Yu, Bowen Du, Xiao Hu, Leilei Sun, Liangzhe Han, Weifeng Lv

Neurocomputing, 2021

Modelling the epidemic dynamics of COVID-19 with consideration of human mobility.

Bowen Du, Zirong Zhao, Jiejie Zhao, Le Yu, Leilei Sun, Weifeng Lv

Int. J. Data Sci. Anal., 2021

2020

Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning.

Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, Hui Xiong

CoRR, 2020

Predicting Temporal Sets with Deep Neural Networks.

Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Hui Xiong, Weifeng Lv

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Traffic Accident Prediction Based on Deep Spatio-Temporal Analysis.

Le Yu, Bowen Du, Xiao Hu, Leilei Sun, Weifeng Lv, Runhe Huang

Proceedings of the 2019 IEEE SmartWorld, 2019