Tongya Zheng

According to our database, Tongya Zheng authored at least 29 papers between 2019 and 2024.

Collaborative distances:

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

2024

Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation.

Yu Wang, Tongya Zheng, Shunyu Liu, Zunlei Feng, Kai-Xuan Chen, Yunzhi Hao, Mingli Song

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

Transition Propagation Graph Neural Networks for Temporal Networks.

Tongya Zheng, Zunlei Feng, Tianli Zhang, Yunzhi Hao, Mingli Song, Xingen Wang, Xinyu Wang, Ji Zhao, Chun Chen

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Spatiotemporal gated traffic trajectory simulation with semantic-aware graph learning.

Yu Wang, Ji Cao, Wenjie Huang, Zhihua Liu, Tongya Zheng, Mingli Song

Inf. Fusion, 2024

Graph Neural Networks-based hybrid framework for predicting particle crushing strength.

Tongya Zheng, Tianli Zhang, Qingzheng Guan, Wenjie Huang, Zunlei Feng, Mingli Song, Chun Chen

Expert Syst. Appl., 2024

Curriculum Negative Mining For Temporal Networks.

Ziyue Chen, Tongya Zheng, Mingli Song

CoRR, 2024

Odyssey: Empowering Agents with Open-World Skills.

Shunyu Liu, Yaoru Li, Kongcheng Zhang, Zhenyu Cui, Wenkai Fang, Yuxuan Zheng, Tongya Zheng, Mingli Song

CoRR, 2024

Disentangled Condensation for Large-scale Graphs.

Zhenbang Xiao, Shunyu Liu, Yu Wang, Tongya Zheng, Mingli Song

CoRR, 2024

COLA: Cross-city Mobility Transformer for Human Trajectory Simulation.

Yu Wang, Tongya Zheng, Yuxuan Liang, Shunyu Liu, Mingli Song

Proceedings of the ACM on Web Conference 2024, 2024

Simple Graph Condensation.

Zhenbang Xiao, Yu Wang, Shunyu Liu, Huiqiong Wang, Mingli Song, Tongya Zheng

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks.

Yuwen Wang, Shunyu Liu, Tongya Zheng, Kaixuan Chen, Mingli Song

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

TrajGraph: A Dual-View Graph Transformer Model for Effective Next Location Recommendation.

Jiafeng Zhao, Hao Ni, Canghong Jin, Tongya Zheng, Longxiang Shi, Xiaoliang Wang

Proceedings of the International Joint Conference on Neural Networks, 2024

Multi-Channel Graph Fusion Representation for Tabular Data Imputation.

Na Yu, Ke Xu, Kai-Xuan Chen, Shunyu Liu, Tongya Zheng, Mingli Song

Proceedings of the International Joint Conference on Neural Networks, 2024

Learning a Mini-Batch Graph Transformer via Two-Stage Interaction Augmentation.

Wenda Li, Kaixuan Chen, Shunyu Liu, Tongya Zheng, Wenjie Huang, Mingli Song

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Language Models-enhanced Semantic Topology Representation Learning For Temporal Knowledge Graph Extrapolation.

Tianli Zhang, Tongya Zheng, Zhenbang Xiao, Zulong Chen, Liangyue Li, Zunlei Feng, Dongxiang Zhang, Mingli Song

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection.

Mingjiang Duan, Tongya Zheng, Yang Gao, Gang Wang, Zunlei Feng, Xinyu Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation.

Tongya Zheng, Xinchao Wang, Zunlei Feng, Jie Song, Yunzhi Hao, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen

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

Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning.

Yaoquan Wei, Shunyu Liu, Jie Song, Tongya Zheng, Kaixuan Chen, Yong Wang, Mingli Song

CoRR, 2023

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization.

Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song

CoRR, 2023

Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?

Yihe Zhou, Shunyu Liu, Yunpeng Qing, Kaixuan Chen, Tongya Zheng, Yanhao Huang, Jie Song, Mingli Song

CoRR, 2023

Graph-based Knowledge Distillation: A survey and experimental evaluation.

Jing Liu, Tongya Zheng, Guanzheng Zhang, Qinfen Hao

CoRR, 2023

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization.

Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Ji Qiao, Yun Su, Yingjie Tian, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A General Heterogeneous Hypergraph Neural Network for Node Classification.

Bingde Hu, Wenjie Huang, Tongya Zheng, Mingli Song, Ying Li

Proceedings of the International Joint Conference on Neural Networks, 2023

Disentangling Node Metric Factors for Temporal Link Prediction.

Tianli Zhang, Tongya Zheng, Yuanyu Wan, Ying Li, Wenqi Huang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Heterogeneous Graph Prototypical Networks for Few-Shot Node Classification.

Yunzhi Hao, Mengfan Wang, Xingen Wang, Tongya Zheng, Xinyu Wang, Wenqi Huang, Chun Chen

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks.

Yunzhi Hao, Yu Wang, Shunyu Liu, Tongya Zheng, Xingen Wang, Xinyu Wang, Mingli Song, Wenqi Huang, Chun Chen

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition.

Shunyu Liu, Yihe Zhou, Jie Song, Tongya Zheng, Kaixuan Chen, Tongtian Zhu, Zunlei Feng, Mingli Song

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

2022

HIRE: Distilling high-order relational knowledge from heterogeneous graph neural networks.

Jing Liu, Tongya Zheng, Qinfen Hao

Neurocomputing, 2022

2021

Learning Dynamic Preference Structure Embedding From Temporal Networks.

Tongya Zheng, Zunlei Feng, Yu Wang, Chengchao Shen, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen, Hao Xu

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

2019

Real-time intelligent big data processing: technology, platform, and applications.

Tongya Zheng, Gang Chen, Xinyu Wang, Chun Chen, Xingen Wang, Sihui Luo

Sci. China Inf. Sci., 2019