Publications
$^\dagger$ Equal contribution. $^*$ Corresponding author.
Conference
Effective and Efficient Distributed Temporal Graph Learning through Hotspot Memory Sharing [Paper] [Code]
Longjiao Zhang, Rui Wang$^*$, Tongya Zheng, Ziqi Huang, Wenjie Huang, Xinyu Wang, Can Wang, Mingli Song, Sai Wu, Shuibing He.
The 51st International Conference on Very Large Data BasesLondon (VLDB), 2025.Efficient Dynamic Graphs Learning with Refined Batch Parallel Training [Paper] [Code]
Zhengzhao Feng, Rui Wang$^*$, Longjiao Zhang, Tongya Zheng, Ziqi Huang, Mingli Song.
The 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025.Odyssey : Empowering Minecraft Agents with Open-World Skills [Paper] [Code]
Shunyu Liu, Yaoru Li, Kongcheng Zhang, Zhenyu Cui, Wenkai Fang, Yuxuan Zheng, Tongya Zheng, Mingli Song$^*$.
The 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025.CADP: Towards Better Centralized Learning for Decentralized Execution in MARL [Paper] [Code]
Yihe Zhou$^\dagger$, Shunyu Liu$^{\dagger *}$, Yunpeng Qing, Kaixuan Chen, Tongya Zheng, Yanhao Huang, Jie Song, Mingli Song.
The 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025.Disentangled Condensation for Large-scale Graphs [Paper] [Code]
Zhenbang Xiao, Yu Wang, Shunyu Liu, Bingde Hu, Huiqiong Wang$^*$, Mingli Song, Tongya Zheng.
The Web Conference (WWW), 2025.Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location [Paper]
Na Yu, Yutong Deng, Shunyu Liu, Kaixuan Chen$^*$, Tongya Zheng, Mingli Song.
The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning [Paper]
Yaoquan Wei, Shunyu Liu$^*$, Jie Song, Tongya Zheng, Kaixuan Chen, Mingli Song.
The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.Holistic Semantic Representation for Navigational Trajectory Generation [Paper]
Ji Cao, Tongya Zheng$^*$, Qinghong Guo, Yu Wang, Junshu Dai, Shunyu Liu, Jie Yang, Jie Song, Mingli Song.
The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL [Paper]
Yihe Zhou, Yuxuan Zheng, Yue Hu, Kaixuan Chen, Tongya Zheng, Jie Song, Mingli Song, Shunyu Liu$^*$.
The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.Global Attribute-Association Pattern Aggregation for Graph Fraud Detection [Paper]
Mingjiang Duan, Da He, Tongya Zheng, Lingxiang Jia, Mingli Song, Xinyu Wang, Zunlei Fen$^*$g.
The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.Unified Mask Graph Modeling for Incomplete Tabular Learning [Paper]
Na Yu, Tongya Zheng$^*$, Kaixuan Chen, Shunyu Liu, Mingli Song.
The 31st International Conference on Neural Information Processing (ICONIP), 2024.Language Models-enhanced Semantic Topology Representation Learning For Temporal Knowledge Graph Extrapolation [Paper]
Tianli Zhang, Tongya Zheng$^*$, Zhenbang Xiao, Zulong Chen, Liangyue Li, Zunlei Feng, Dongxiang Zhang, Mingli Song.
The 33rd ACM International Conference on Information and Knowledge Management (CIKM), 2024.Learning a Mini-batch Graph Transformer via Two-stage Interaction Augmentation [Paper]
Wenda Li, Kaixuan Chen, Shunyu Liu, Tongya Zheng, Wenjie Huang and Mingli Song$^*$.
European Conference on Artificial Intelligence (ECAI), 2024.Simple Graph Condensation [Paper]
Zhenbang Xiao, Yu Wang, Shunyu Liu, Huiqiong Wang$^*$, Mingli Song, Tongya Zheng.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2024.Unveiling Global Interactive Patterns across Graphs: Towards Interpretable Graph Neural Networks [Paper]
Yuwen Wang, Shunyu Liu$^*$, Tongya Zheng, Kaixuan Chen, Mingli Song.
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024.COLA: Cross-city Mobility Transformer for Human Trajectory Simulation [Paper] [Code]
Yu Wang, Tongya Zheng$^*$, Yuxuan Liang, Shunyu Liu, Mingli Song.
The Web Conference (WWW), 2024.DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection [Paper] [Code]
Mingjiang Duan, Tongya Zheng, Yang Gao, Gang Wang, Zunlei Feng$^*$, Xinyu Wang.
AAAI Conference on Artificial Intelligence (AAAI), 2024.Disentangling Node Metric Factors for Temporal Link Prediction [Paper]
Tianli Zhang, Tongya Zheng, Yuanyu Wan$^*$, Ying Li, Wenqi Huang. International Conference on Neural Information Processing (ICONIP), 2023.Heterogeneous Graph Prototypical Networks for Few-Shot Node Classification [Paper]
Yunzhi Hao$^*$ , Mengfan Wang, Xingen Wang, Tongya Zheng, Xinyu Wang, Wenqi Huang, Chun Chen.
International Conference on Neural Information Processing (ICONIP), 2023.Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks [Paper]
Yunzhi Hao, Yu Wang, Shunyu Liu, Tongya Zheng$^*$, Xingen Wang, Xinyu Wang, Mingli Song, Wenqi Huang, Chun Chen.
International Conference on Neural Information Processing (ICONIP), 2023.Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization [Paper] [Code]
Kaixuan Chen$^\dagger$, Shunyu Liu$^\dagger$, Tongtian Zhu$^\dagger$, Ji Qiao, Yun Su, Yingjie Tian, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye$^*$, Mingli Song.
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.A General Heterogeneous Hypergraph Neural Network for Node Classification [Paper] [Code]
Bingde Hu, Wenjie Huang, Tongya Zheng, Mingli Song$^*$, Ying Li 2023 International Joint Conference on Neural Networks (IJCNN), 2023.Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition [Paper] [Code]
Shunyu Liu$^\dagger$, Yihe Zhou$^\dagger$, Jie Song, Tongya Zheng, Kaixuan Chen, Tongtian Zhu, Zunlei Feng, Mingli Song$^*$.
AAAI Conference on Artificial Intelligence (AAAI), 2023, Oral.Learning Dynamic Preference Structure Embedding From Temporal Networks [Paper] [Code]
Tongya Zheng, Zunlei Feng, Yu Wang, Chengchao Shen, Mingli Song$^*$, Xingen Wang, Xinyu Wang, Chun Chen, Hao Xu.
IEEE International Conference on Big Knowledge (ICBK), 2021.
Journal
Curriculum Negative Mining For Temporal Networks [Paper] [Code]
Ziyue Chen, Tongya Zheng$^*$, Mingli Song.
Neural Networks, 2025.BARE: Balance representation for imbalance multi-class node classification on heterogeneous information networks [Paper]
Canghong Jin, Hao Ni, Feng Miao, Tongya Zheng, Mingli Song, Zemin Liu$^*$.
Expert Systems with Applications, 2024.Graph Neural Networks-based Hybrid Framework For Predicting Particle Crushing Strength [Paper] [Code]
Tongya Zheng, Tianli Zhang, Qingzheng Guan, Wenjie Huang, Zunlei Feng, Mingli Song$^*$, Chun Chen.
Expert Systems with Applications, 2024.Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation [Paper] [Code]
Yu Wang, Tongya Zheng$^*$, Shunyu Liu, Kaixuan Chen, Zunlei Feng, Yunzhi Hao, Mingli Song.
IEEE Transactions on Knowledge and Data Engineering, 2024.Spatiotemporal gated traffic trajectory simulation with semantic-aware graph learning [Paper] [Code]
Yu Wang, Ji Cao, Wenjie Huang, Zhihua Liu, Tongya Zheng$^*$, Mingli Song.
Information Fusion, 2024.A Survey on Knowledge Distillation with Graph: Methods and Application Analysis [Paper] [Code]
Jing Liu, Tongya Zheng, Qinfen Hao$^*$.
Journal of Software, 2023.Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation [Paper] [Code]
Tongya Zheng, Xinchao Wang, Zunlei Feng, Jie Song, Yunzhi Hao, Mingli Song$^*$, Xingen Wang, Xinyu Wang, Chun Chen.
IEEE Transactions on Knowledge and Data Engineering, 2023.HIRE: Distilling high-order relational knowledge from heterogeneous graph neural networks [Paper]
Jing Liu, Tongya Zheng, Qinfen Hao$^*$.
Neurocomputing, 2022.Transition Propagation Graph Neural Networks for Temporal Networks [Paper] [Code]
Tongya Zheng, Zunlei Feng, Tianli Zhang, Yunzhi Hao, Mingli Song$^*$, Xingen Wang, Xinyu Wang, Ji Zhao, Chun Chen.
IEEE Transactions on Neural Networks and Learning Systems, 2022.Real-time intelligent big data processing: technology, platform, and applications [Paper]
Tongya Zheng, Gang Chen, Xinyu Wang$^*$, Chun Chen, Xingen Wang, Sihui Luo.
Science China Information Sciences.