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2020 – today
- 2025
[c8]Yifan Song, Yu Yang, Kangzheng Liu, Feng Zhao:
Graph Contrastive Anomaly Detection Based on Beta Wavelet Multi-GNNs. APWeb-WAIM (3) 2025: 533-548- [c7]Hong Zhang, Feng Zhao, Ruilin Zhao, Cheng Yan, Kangzheng Liu:
Priority on High-Quality: Selecting Instruction Data via Consistency Verification of Noise Injection. EMNLP 2025: 20764-20776 - [c6]Feng Zhao, Ruoyu Chai, Kangzheng Liu, Xianggan Liu:
LGA: LLM-GNN Aggregation for Temporal Evolution Attribute Graph Prediction. EMNLP 2025: 20918-20929 - [i2]Kangzheng Liu, Leixin Ma:
MeshODENet: A Graph-Informed Neural Ordinary Differential Equation Neural Network for Simulating Mesh-Based Physical Systems. CoRR abs/2509.18445 (2025) - 2024
- [c5]Kangzheng Liu
, Feng Zhao, Yu Yang, Guandong Xu:
DySarl: Dynamic Structure-Aware Representation Learning for Multimodal Knowledge Graph Reasoning. ACM Multimedia 2024: 8247-8256 - 2023
- [j1]Kangzheng Liu, Feng Zhao, Hai Jin:
FS-Net: Frequency Statistical Network for Temporal Knowledge Graph Reasoning. Int. J. Softw. Informatics 13(4): 399-416 (2023) - [c4]Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin:
RETIA: Relation-Entity Twin-Interact Aggregation for Temporal Knowledge Graph Extrapolation. ICDE 2023: 1761-1774 - [c3]Kangzheng Liu, Feng Zhao, Guandong Xu, Shiqing Wu:
IE-Evo: Internal and External Evolution-Enhanced Temporal Knowledge Graph Forecasting. ICDM 2023: 408-417 - 2022
- [c2]Kangzheng Liu, Feng Zhao, Hongxu Chen, Yicong Li, Guandong Xu, Hai Jin:
DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning. CIKM 2022: 1289-1298 - [c1]Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin:
Temporal Knowledge Graph Reasoning via Time-Distributed Representation Learning. ICDM 2022: 279-288 - 2021
- [i1]Kangzheng Liu, Yuhong Zhang:
A Temporal Knowledge Graph Completion Method Based on Balanced Timestamp Distribution. CoRR abs/2108.13024 (2021)
Coauthor Index
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