Adaptive Taxonomy Learning and Historical Patterns Modeling for Patent Classification.
ACM Trans. Inf. Syst., November, 2024
Event-Based Dynamic Graph Representation Learning for Patent Application Trend Prediction.
IEEE Trans. Knowl. Data Eng., May, 2024
Continuous-Time User Preference Modelling for Temporal Sets Prediction.
IEEE Trans. Knowl. Data Eng., April, 2024
Multi-mode Spatial-Temporal Data Modeling with Fully Connected Networks.
Proceedings of the Knowledge Science, Engineering and Management, 2024
Label-Enhanced Graph Neural Network for Semi-Supervised Node Classification.
IEEE Trans. Knowl. Data Eng., November, 2023
Heterogeneous Graph Representation Learning With Relation Awareness.
IEEE Trans. Knowl. Data Eng., June, 2023
A Simple Framework for Multi-mode Spatial-Temporal Data Modeling.
CoRR, 2023
Adaptive Taxonomy Learning and Historical Patterns Modelling for Patent Classification.
CoRR, 2023
Towards Better Dynamic Graph Learning: New Architecture and Unified Library.
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.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Pretraining Language Models with Text-Attributed Heterogeneous Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Predicting Temporal Sets with Simplified Fully Connected Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Adaptive Spatio-temporal Graph Neural Network for traffic forecasting.
Knowl. Based Syst., 2022
Modelling Evolutionary and Stationary User Preferences for Temporal Sets Prediction.
CoRR, 2022
Element-guided Temporal Graph Representation Learning for Temporal Sets Prediction.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Deep Heterogeneous Network for Temporal Set Prediction.
Knowl. Based Syst., 2021
Deep spatio-temporal graph convolutional network for traffic accident prediction.
Neurocomputing, 2021
Modelling the epidemic dynamics of COVID-19 with consideration of human mobility.
Int. J. Data Sci. Anal., 2021
Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning.
CoRR, 2020
Predicting Temporal Sets with Deep Neural Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Traffic Accident Prediction Based on Deep Spatio-Temporal Analysis.
Proceedings of the 2019 IEEE SmartWorld, 2019