Publications

Journals

1. Neural-Symbolic Reasoning over Knowledge Graphs: A Survey from a Query Perspective. KDD Exploration 2025 Lihui Liu, Zihao Wang, Hanghang Tong

2. Knowledge Graph Comparative Reasoning for Fact Checking: Problem Definition and Algorithms. Data Engineering 2022 Lihui Liu, Ruining Zhao, Boxin Du, Yi Ren Fung, Heng Ji, Jiejun Xu, Hanghang Tong

Conferences

1. MORGAN: To Bridge Mixture of Experts and Spectral Graph Neural Network. 2026 AAAI
   Lihui Liu, Yuchen Yan

2. HyperKGR: Knowledge Graph Reasoning in Hyperbolic Space with Graph Neural Network Encoding Symbolic Path. 2025 EMNLP
   Lihui Liu

3. Monte Carlo Tree Search for Graph Reasoning in Large Language Model Agents. 2025 CIKM
   Lihui Liu

4. Few-Shot Knowledge Graph Completion via Transfer from Similar Tasks. 2025 CIKM
   Lihui Liu, Zihao Wang, Dawei Zhou, Ruijie Wang, Yuchen Yan, Bo Xiong, Sihong He, Hanghang Tong

5. EviNet: Towards Open-World Graph Learning via Evidential Reasoning Network. 2025 KDD
   Weijie Guan, Jian Kang, Lihui Liu, Dawei Zhou

6. AdvQA: Query-Aware Adversarial Training for Knowledge Graph Reasoning. 2025 BigData Ziyan Liu, Lihui Liu

7. R-KBQA: Revise-once correction for Generate-then-Retrieve KBQA. 2025 BigData Bowen Huang, Lihui Liu

8. TUCKET: A Tensor Time Series Data Structure for Efficient and Accurate Factor Analysis over Time Ranges. 2024 VLDB
   Ruzhong Qiu, Jun-Gi Jang, Xiao Lin, Lihui Liu, Hanghang Tong

9. Conversational Question Answering with Reformulations over Knowledge Graph. ACL 2024 Findings paper Lihui Liu, Blaine Hill, Boxin Du, Hanghang Tong

10. Can contrastive learning refine embedding. 2024 ESWC Lihui Liu, Jimha Kim, Vidit Bansal.

11. Ginkgo-P: General Illustrations of Knowledge Graphs for Openness as a Platform. 2024 WSDM Blaine Hill, Lihui Liu, Hanghang Tong

12. PaCEr: Positional Embedding Meets Structural Embedding of Graph Representation Learning. 2024 WWW Yuchen Yan, Yongyi Hu, Qinghai Zhou, Lihui Liu, Hanghang Tong

13. Reconciling Competing Sampling Strategies of Network Embedding. NeurIPS 2023 paper Yuchen Yan, Baoyu Jing, Lihui Liu, Ruijie Wang, Jinning Li, Tarek Abdelzaher, Hanghang Tong

14. Knowledge Graph Question Answering with Ambiguous Query. WWW 2023 paper Lihui Liu, Yuzhong Chen, Mahashweta Das, Hao Yang, Hanghang Tong

15. Comparative Reasoning for Knowledge Graph Fact Checking. BigData 2022 paper Lihui Liu, Houxiang Ji, Jiejun Xu, Hanghang Tong

16. Joint Knowledge Graph Completion and Question Answering. KDD 2022 paper Lihui Liu, Boxin Du, Jiejun Xu, Yinglong xia, Hanghang Tong

17. ABM: Attention-based Message Passing Network for Knowledge Graph Completion. BigData 2022 paper Weikai Xu, Lihui Liu, Hanghang Tong

18. KomPare: A Knowledge Graph Comparative Reasoning System. KDD 2021 paper Lihui Liu, Boxin Du, Fung Yi, Heng Ji, Jiejun Xu, Hanghang Tong

19. Neural-Answering Logical Queries on Knowledge Graphs. KDD 2021 paper Lihui Liu, Boxin Du, Heng Ji, Chengxiang Zhai, Hanghang Tong

20. Sylvester Tensor Equation for Multi-Way Association, KDD 2021 paper Boxin Du, Lihui Liu, and Hanghang Tong

21. Dynamic Knowledge Graph Alignment, AAAI 2021 paper Yuchen Yan, Lihui Liu, Hanghang Tong

22. A Knowledge Graph Reasoning Prototype. NeurIPS demo 2020 Lihui Liu, Hanghang Tong

23. CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities. BigData 2020 S. Roach, C. Ni, A. Kopylov, T. Lu, J. Xu, S. Zhang, B. Du, Dawei Zhou, Jun Wu, Lihui Liu, Yuchen Yan, Jingrui He, Hanghang Tong

24. Approximated Attributed Subgraph Matching. BigData 2019 paper Lihui Liu, Boxin Du, Jiejun Xu, Hanghang Tong