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2020 – today
- 2022
[j2]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 483: 249-261 (2022)- [c6]Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu:
CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion. ACL (1) 2022: 2867-2877 - [c5]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: 1391-1400 - [i9]Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu:
CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion. CoRR abs/2202.13785 (2022) - [i8]Guanglin Niu, Bo Li:
Logic and Commonsense-Guided Temporal Knowledge Graph Completion. CoRR abs/2211.16865 (2022) - 2021
- [c4]Shan Yang, Yongfei Zhang, Guanglin Niu, Qinghua Zhao, Shiliang Pu:
Entity Concept-enhanced Few-shot Relation Extraction. ACL/IJCNLP (2) 2021: 987-991 - [c3]Guanglin Niu, Yang Li, Chengguang Tang, Ruiying Geng, Jian Dai, Qiao Liu, Hao Wang, Jian Sun, Fei Huang, Luo Si:
Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion. SIGIR 2021: 213-222 - [i7]Guanglin Niu, Yang Li, Chengguang Tang, Ruiying Geng, Jian Dai, Qiao Liu, Hao Wang, Jian Sun, Fei Huang, Luo Si:
Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion. CoRR abs/2104.13095 (2021) - [i6]Shan Yang, Yongfei Zhang, Guanglin Niu, Qinghua Zhao, Shiliang Pu:
Entity Concept-enhanced Few-shot Relation Extraction. CoRR abs/2106.02401 (2021) - [i5]Guanglin Niu, Yang Li, Chengguang Tang, Zhongkai Hu, Shibin Yang, Peng Li, Chengyu Wang, Hao Wang, Jian Sun:
Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings. CoRR abs/2110.15622 (2021) - [i4]Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu:
EngineKGI: Closed-Loop Knowledge Graph Inference. CoRR abs/2112.01040 (2021) - 2020
- [c2]Guanglin Niu, Yongfei Zhang, Bo Li, Peng Cui, Si Liu, Jingyang Li, Xiaowei Zhang:
Rule-Guided Compositional Representation Learning on Knowledge Graphs. AAAI 2020: 2950-2958 - [c1]Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu, Jingyang Li:
AutoETER: Automated Entity Type Representation with Relation-Aware Attention for Knowledge Graph Embedding. EMNLP (Findings) 2020: 1172-1181 - [i3]Guanglin Niu, Bo Li, Yongfei Zhang, Shiliang Pu, Jingyang Li:
AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding. CoRR abs/2009.12030 (2020) - [i2]Guanglin Niu, Bo Li, Yongfei Zhang, Yongpan Sheng, Chuan Shi, Jingyang Li, Shiliang Pu:
Joint Semantics and Data-Driven Path Representation for Knowledge Graph Inference. CoRR abs/2010.02602 (2020)
2010 – 2019
- 2019
- [j1]Ming Xin, Jin Zheng, Bo Li, Guanglin Niu, Miaohui Zhang:
Real-time object tracking via self-adaptive appearance modeling. Neurocomputing 349: 21-30 (2019) - [i1]Guanglin Niu, Yongfei Zhang, Bo Li, Peng Cui, Si Liu, Jingyang Li, Xiaowei Zhang:
Rule-Guided Compositional Representation Learning on Knowledge Graphs. CoRR abs/1911.08935 (2019)
Coauthor Index
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