[1] Alfonso Amayuelas, Shuai Zhang, Susie Xi Rao, and Ce Zhang. Neural methods for logical reasoning over knowledge graphs. In The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022. OpenReview.net, 2022. URL https://openreview.net/forum?id=tgcAoUVHRIB.
[2] Erik Arakelyan, Daniel Daza, Pasquale Minervini, and Michael Cochez. Complex query answering with neural link predictors. In 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021. OpenReview.net, 2021. URL https://openreview.net/forum?id=Mos9F9kDwkz.
[3] Nicholas Asher. Reference to abstract objects in discourse, volume 50. Springer Science & Business Media, 1993.
[4] Emmon Bach. The algebra of events. Linguistics and philosophy, 9(1):5-16, 1986.
[5] Jiaxin Bai, Zihao Wang, Hongming Zhang, and Yangqiu Song. Query2Particles: Knowledge graph reasoning with particle embeddings. In Findings of the Association for Computational Linguistics: NAACL 2022, pages 2703-2714, Seattle, United States, July 2022. Association for Computational Linguistics. doi: 10.18653/v1/2022.findings-naacl.207. URL https://aclanthology.org/2022-findings-naacl.207.
[6] Jiaxin Bai, Chen Luo, Zheng Li, Qingyu Yin, Bing Yin, and Yangqiu Song. Knowledge graph reasoning over entities and numerical values. In Ambuj K. Singh, Yizhou Sun, Leman Akoglu, Dimitrios Gunopoulos, Xifeng Yan, Ravi Kumar, Fatma Ozcan, and Jieping Ye, editors, Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023, pages 57-68. ACM, 2023. doi: 10.1145/3580305.3599399. URL https://doi.org/10.1145/3580305.3599399.
[7] Jiaxin Bai, Tianshi Zheng, and Yangqiu Song. Sequential query encoding for complex query answering on knowledge graphs. Transactions on Machine Learning Research, 2023. ISSN 2835-8856. URL https://openreview.net/forum?id=ERqGqZzSu5.
[8] Yushi Bai, Xin Lv, Juanzi Li, and Lei Hou. Answering complex logical queries on knowledge graphs via query tree optimization. arXiv preprint arXiv:2212.09567, 2022.
[9] Peru Bhardwaj, John D. Kelleher, Luca Costabello, and Declan O'Sullivan. Adversarial attacks on knowledge graph embeddings via instance attribution methods. In Marie-Francine Moens, Xuanjing Huang, Lucia Specia, and Scott Wen-tau Yih, editors, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021, pages 8225-8239. Association for Computational Linguistics, 2021. doi: 10.18653/v1/2021.emnlp-main.648. URL https://doi.org/10.18653/v1/2021.emnlp-main.648.
[10] Mario Bunge. Causality and modern science. 1979.
[11] Chunkit Chan, Jiayang Cheng, Weiqi Wang, Yuxin Jiang, Tianqing Fang, Xin Liu, and Yangqiu Song. Chatgpt evaluation on sentence level relations: A focus on temporal, causal, and discourse relations. CoRR, abs/2304.14827, 2023. doi: 10.48550/ARXIV.2304.14827. URL https://doi.org/10.48550/arXiv.2304.14827.
[12] Xuelu Chen, Ziniu Hu, and Yizhou Sun. Fuzzy logic based logical query answering on knowledge graphs. In Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 2022, pages 3939-3948. AAAI Press, 2022. URL https://ojs.aaai.org/index.php/AAAI/article/view/20310.
[13] Brendan Conway-Smith and Robert L West. System-1 and system-2 realized within the common model of cognition. Proceedings http://ceur-ws.org ISSN, 1613:0073, 2022.