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[1] .牛广林, 蔺伟. 面向关系特性建模的知识图谱表示学习研究综述. 计算机科学 (CCF B中文期刊), 2024.
[2] .Guanglin Niu, Bo Li. Logic and Commonsense-Guided Temporal Knowledge Graph Completion. AAAI 2023 (CCF A顶会). Long Paper.
[3] .Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu. CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion. ACL 2022 (CCF A顶会). Long Paper.
[4] .Guanglin Niu, Yongfei Zhang, Bo Li, Peng Cui, Si Liu, Jingyang Li and Xiaowei Zhang. Rule-Guided Compositional Representation Learning on Knowledge Graphs. AAAI 2020 (CCF A顶会). Long paper (Spotlight).
[5] .Guanglin Niu, Yang Li, Chengguang Tang, et al. Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion. SIGIR 2021 (CCF A顶会). Long paper.
[6] .Guiwei Zhang, Tianyu Zhang, Guanglin Niu(通讯作者), et al. CAMEL: CAusal Motion Enhancement tailored for Lifting Text-driven Video Editing. CVPR 2024 (CCF A顶会).
[7] .Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu and Jingyang Li. AutoETER: Automated Entity Type Representation with Relation-Aware Attention for Knowledge Graph Embedding. EMNLP 2020 Findings (CCF B顶会). Long paper.
[8] .Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu. Perform like an Engine: A Closed-Loop Neural-Symbolic Learning Framework for Knowledge Graph Inference. COLING 2022 (CCF B顶会). Long Paper.
[9] .Guanglin Niu, Bo Li, Yongfei Zhang, Yongpan Sheng, Chuan Shi, Jingyang Li, Shiliang Pu. Joint Semantics and Data-Driven Path Representation for Knowledge Graph Reasoning. Neurocomputing (Q1 SCI, IF: 6), 2022.
[10] .Shan Yang, Yongfei Zhang, Guanglin Niu, Qinghua Zhao, Shiliang Pu. Entity Concept Enhanced Few-Shot Relation Extraction. ACL 2021 (CCF A顶会). Short paper.

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