Kangzheng Liu

According to our database, Kangzheng Liu authored at least 13 papers between 2021 and 2026.

Collaborative distances:

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

2026

Cog-RMH: Cognition-Based Recalling Multiview History for Event Forecasting in Temporal Knowledge Graph.

Feng Zhao, Kangzheng Liu, Yu Yang, Guandong Xu

IEEE Trans. Knowl. Data Eng., July, 2026

DyMRL: Dynamic Multispace Representation Learning for Multimodal Event Forecasting in Knowledge Graph.

Feng Zhao, Kangzheng Liu, Teng Peng, Yu Yang, Guandong Xu

Proceedings of the ACM Web Conference 2026, 2026

2025

MeshODENet: A Graph-Informed Neural Ordinary Differential Equation Neural Network for Simulating Mesh-Based Physical Systems.

Kangzheng Liu, Leixin Ma

CoRR, September, 2025

LGA: LLM-GNN Aggregation for Temporal Evolution Attribute Graph Prediction.

Feng Zhao, Ruoyu Chai, Kangzheng Liu, Xianggan Liu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Priority on High-Quality: Selecting Instruction Data via Consistency Verification of Noise Injection.

Hong Zhang, Feng Zhao, Ruilin Zhao, Cheng Yan, Kangzheng Liu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Graph Contrastive Anomaly Detection Based on Beta Wavelet Multi-GNNs.

Yifan Song, Yu Yang, Kangzheng Liu, Feng Zhao

Proceedings of the Web and Big Data - 9th International Joint Conference, 2025

2024

DySarl: Dynamic Structure-Aware Representation Learning for Multimodal Knowledge Graph Reasoning.

Kangzheng Liu, Feng Zhao, Yu Yang, Guandong Xu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

FS-Net: Frequency Statistical Network for Temporal Knowledge Graph Reasoning.

Kangzheng Liu, Feng Zhao, Hai Jin

Int. J. Softw. Informatics, 2023

IE-Evo: Internal and External Evolution-Enhanced Temporal Knowledge Graph Forecasting.

Kangzheng Liu, Feng Zhao, Guandong Xu, Shiqing Wu

Proceedings of the IEEE International Conference on Data Mining, 2023

RETIA: Relation-Entity Twin-Interact Aggregation for Temporal Knowledge Graph Extrapolation.

Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Temporal Knowledge Graph Reasoning via Time-Distributed Representation Learning.

Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin

Proceedings of the IEEE International Conference on Data Mining, 2022

DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning.

Kangzheng Liu, Feng Zhao, Hongxu Chen, Yicong Li, Guandong Xu, Hai Jin

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

A Temporal Knowledge Graph Completion Method Based on Balanced Timestamp Distribution.

Kangzheng Liu, Yuhong Zhang

CoRR, 2021