Some papers about Logical Query on Knowledge Graphs (KGLQ)

Thanks for your attention and kind words! We will update KGLQ later.

• Methodologies
• Papers

• (GQE) William L. Hamilton, Payal Bajaj, Marinka Zitnik, Dan Jurafsky, Jure Leskovec. "Embedding Logical Queries on Knowledge Graphs". NeurIPS 2018. paper reviews code 🔥

• (Q2B) Hongyu Ren, Weihua Hu, Jure Leskovec. "Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings". ICLR 2020. paper code 🔥

• (BETAE) Hongyu Ren, Jure Leskovec. "Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs". NeurIPS 2020. paper code

• (EmQL) Haitian Sun, Andrew O. Arnold, Tania Bedrax-Weiss, Fernando Pereira, William W. Cohen. "Faithful Embeddings for Knowledge Base Queries". NeurIPS 2020. paper

• (TRACTOR) Tal Friedman, Guy Van den Broeck. "Symbolic Querying of Vector Spaces: Probabilistic Databases Meets Relational Embeddings". UAI 2020. paper

• (Top-k-Query) Yuxiang Wang, Xiaoliang Xu, Qifan Hong, Jiahui Jin, Tianxing Wu. "Top-k star queries on knowledge graphs through semantic-aware bounding match scores". Knowledge Based Systems 2021. paper

• (BiQE) Bhushan Kotnis, Carolin Lawrence, Mathias Niepert. "Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders". AAAI 2021. paper

• (NewLook) Lihui Liu, Boxin Du, Heng Ji, ChengXiang Zhai, Hanghang Tong. "Neural-Answering Logical Queries on Knowledge Graphs". KDD 2021. paper

• (MLPMix) Alfonso Amayuelas, Shuai Zhang, Susie Xi Rao, Ce Zhang. "Neural Methods for Logical Reasoning over Knowledge Graphs". ICLR 2022. paper code

• (StarQE) Dimitrios Alivanistos, Max Berrendorf, Michael Cochez, Mikhail Galkin. "Query Embedding on Hyper-Relational Knowledge Graphs". ICLR 2022. paper code

• (GNN-QE) Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang. "Neural-Symbolic Models for Logical Queries on Knowledge Graphs". ICML 2022. paper code

• (Query2Particles) Jiaxin Bai, Zihao Wang, Hongming Zhang, Yangqiu Song. "Query2Particles: Knowledge Graph Reasoning with Particle Embeddings". NAACL-HLT 2022 (Findings). paper code

• (kgTransformer) Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, Jie Tang:. "Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries". KDD 2022.

• (LinE) Zijian Huang, Meng-Fen Chiang, Wang-Chien Lee. "LinE: Logical Query Reasoning over Hierarchical Knowledge Graphs". KDD 2022.

• (SMORE) Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Denny Zhou, Jure Leskovec, Dale Schuurmans. "SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs". KDD 2022.