.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.

.Guanglin Niu, Bo Li. Logic and Commonsense-Guided Temporal Knowledge Graph Completion. AAAI 2023 (CCF A顶会). Long Paper.

.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.

.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).

.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.

.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).

.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.

.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.

.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.

.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.