{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T07:18:16Z","timestamp":1761808696698,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":52,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T00:00:00Z","timestamp":1715558400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"the Youth Innovation Team of Shaanxi Universities"},{"name":"the Minister of Education, Singapore","award":["T2EP20120-0019, MOET32020-0004"],"award-info":[{"award-number":["T2EP20120-0019, MOET32020-0004"]}]},{"DOI":"10.13039\/501100006374","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFC3303600"],"award-info":[{"award-number":["2022YFC3303600"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]},{"name":"?LENOVO-XJTU Intelligent Industry Joint Laboratory Project"},{"name":"XJTU Teaching Reform Research Project Acquisition Learning Based on Knowledge Forest"},{"DOI":"10.13039\/501100006374","name":"Natural Science Basic Research Program of Shaanxi Province","doi-asserted-by":"publisher","award":["2023-JC-YB-593"],"award-info":[{"award-number":["2023-JC-YB-593"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006374","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62137002, 62293550, 62293553, 62293554, 62176207, 62106190, 62192781, and 62250009"],"award-info":[{"award-number":["62137002, 62293550, 62293553, 62293554, 62176207, 62106190, 62192781, and 62250009"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Foundation of Key National Defense Science and Technology Laboratory","award":["6142101210201"],"award-info":[{"award-number":["6142101210201"]}]},{"name":"Innovative Research Group of the National Natural Science Foundation of China","award":["61721002"],"award-info":[{"award-number":["61721002"]}]},{"name":"Project of China Knowledge Centre for Engineering Science and Technology"},{"name":"National Research Foundation, Singapore, and the Cyber Security Agency under its National Cybersecurity R\\&D Programme","award":["NCRP25-P04-TAICeN"],"award-info":[{"award-number":["NCRP25-P04-TAICeN"]}]},{"name":"DSO National Laboratories under the AI Singapore Programme","award":["AISG Award No: AISG2-GC-2023-008"],"award-info":[{"award-number":["AISG Award No: AISG2-GC-2023-008"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,5,13]]},"DOI":"10.1145\/3589334.3645594","type":"proceedings-article","created":{"date-parts":[[2024,5,8]],"date-time":"2024-05-08T07:08:13Z","timestamp":1715152093000},"page":"2181-2192","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["A Symbolic Rule Integration Framework with Logic Transformer for Inductive Relation Prediction"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1942-3401","authenticated-orcid":false,"given":"Yudai","family":"Pan","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6004-0675","authenticated-orcid":false,"given":"Jun","family":"Liu","sequence":"additional","affiliation":[{"name":"National Engineering Lab for Big Data Analytics, Xi'an Jiaotong University, Xi'an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2879-2703","authenticated-orcid":false,"given":"Tianzhe","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3074-8565","authenticated-orcid":false,"given":"Lingling","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering, Xi'an Jiaotong University, Xi'an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8255-0118","authenticated-orcid":false,"given":"Yun","family":"Lin","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6512-8326","authenticated-orcid":false,"given":"Jin Song","family":"Dong","sequence":"additional","affiliation":[{"name":"National University of Singapore, Singapore, Singapore"}]}],"member":"320","published-online":{"date-parts":[[2024,5,13]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Gray","author":"Abdelaziz Ibrahim","year":"2021","unstructured":"Ibrahim Abdelaziz, Srinivas Ravishankar, Pavan Kapanipathi, Salim Roukos, and Alexander G. Gray. 2021. A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering. In Proceedings of AAAI. 15985--15987. https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/17988"},{"key":"e_1_3_2_2_2_1","volume-title":"Lucy Campbell-Gillingham, Jan Balaguer, Nat McAleese, Amelia Glaese, John Aslanides, Matt M. Botvinick, and Christopher Summerfield.","author":"Bakker Michiel A.","year":"2022","unstructured":"Michiel A. Bakker, Martin J. Chadwick, Hannah Sheahan, Michael Henry Tessler, Lucy Campbell-Gillingham, Jan Balaguer, Nat McAleese, Amelia Glaese, John Aslanides, Matt M. Botvinick, and Christopher Summerfield. 2022. Fine-tuning language models to find agreement among humans with diverse preferences. In NeurIPS. http:\/\/papers.nips.cc\/paper_files\/paper\/2022\/hash\/f978c8f3b5f399cae464e85f72e28503-Abstract-Conference.html"},{"key":"e_1_3_2_2_3_1","volume-title":"Jason Weston, and Oksana Yakhnenko.","author":"Bordes Antoine","year":"2013","unstructured":"Antoine Bordes, Nicolas Usunier, Alberto Garc'i a-Dur\u00e1 n, Jason Weston, and Oksana Yakhnenko. 2013. Translating Embeddings for Modeling Multi-relational Data. In Advances in Neural Information Processing Systems (NIPS). 2787--2795. https:\/\/proceedings.neurips.cc\/paper\/2013\/hash\/1cecc7a77928ca8133fa24680a88d2f9-Abstract.html"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.373"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i7.16779"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3511998"},{"key":"e_1_3_2_2_7_1","volume-title":"TensorLog: A Differentiable Deductive Database. CoRR","author":"Cohen William W.","year":"2016","unstructured":"William W. Cohen. 2016. TensorLog: A Differentiable Deductive Database. CoRR , Vol. abs\/1605.06523 (2016). showeprint[arXiv]1605.06523 http:\/\/arxiv.org\/abs\/1605.06523"},{"volume-title":"Introduction to Algorithms","author":"Cormen Thomas H.","key":"e_1_3_2_2_8_1","unstructured":"Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein. 2001. Introduction to Algorithms, Second Edition. The MIT Press and McGraw-Hill Book Company."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11573"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.18653\/V1\/N19--1423"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583376"},{"key":"e_1_3_2_2_12_1","volume-title":"6th International Conference on Learning Representations, ICLR","author":"Evans Richard","year":"2018","unstructured":"Richard Evans, David Saxton, David Amos, Pushmeet Kohli, and Edward Grefenstette. 2018. Can Neural Networks Understand Logical Entailment?. In 6th International Conference on Learning Representations, ICLR 2018. OpenReview.net. https:\/\/openreview.net\/forum?id=SkZxCk-0Z"},{"key":"e_1_3_2_2_13_1","volume-title":"Fast Rule Mining in Ontological Knowledge Bases with AMIE. The VLDB Journal","author":"Gal\u00e1rraga Luis","year":"2015","unstructured":"Luis Gal\u00e1rraga, Christina Teflioudi, Katja Hose, and Fabian M Suchanek. 2015. Fast Rule Mining in Ontological Knowledge Bases with AMIE. The VLDB Journal (2015), 707--730."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2488388.2488425"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE55515.2023.00098"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543873.3587346"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","unstructured":"Alfred Horn. 1951. On Sentences Which are True of Direct Unions of Algebras. J. Symb. Log. (1951) 14--21. https:\/\/doi.org\/10.2307\/2268661","DOI":"10.2307\/2268661"},{"key":"e_1_3_2_2_18_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2015","unstructured":"Diederik P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In Proceedings of ICLR. http:\/\/arxiv.org\/abs\/1412.6980"},{"key":"e_1_3_2_2_19_1","volume-title":"Symbolic Graph Reasoning Meets Convolutions. In Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018","author":"Liang Xiaodan","year":"2018","unstructured":"Xiaodan Liang, Zhiting Hu, Hao Zhang, Liang Lin, and Eric P. Xing. 2018. Symbolic Graph Reasoning Meets Convolutions. In Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, Samy Bengio, Hanna M. Wallach, Hugo Larochelle, Kristen Grauman, Nicol\u00f2 Cesa-Bianchi, and Roman Garnett (Eds.). 1858--1868. https:\/\/proceedings.neurips.cc\/paper\/2018\/hash\/cbb6a3b884f4f88b3a8e3d44c636cbd8-Abstract.html"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16554"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/435"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00671-6_1"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF03037089"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-013--5358--3"},{"key":"e_1_3_2_2_25_1","volume-title":"Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI). 2149--2155","author":"Omran Pouya Ghiasnezhad","year":"2018","unstructured":"Pouya Ghiasnezhad Omran, Kewen Wang, and Zhe Wang. 2018. Scalable Rule Learning via Learning Representation. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI). 2149--2155."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.286"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/0004--3702(93)90061-F"},{"key":"e_1_3_2_2_28_1","unstructured":"Ali Sadeghian Mohammadreza Armandpour Patrick Ding and Daisy Zhe Wang. 2019. DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs. In Advances in Neural Information Processing Systems (NeurIPS). 15321--15331. https:\/\/proceedings.neurips.cc\/paper\/2019\/hash\/0c72cb7ee1512f800abe27823a792d03-Abstract.html"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/978--3--319--93417--4_38"},{"volume-title":"Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). 1088--1098","author":"Schoenmackers Stefan","key":"e_1_3_2_2_30_1","unstructured":"Stefan Schoenmackers, Jesse Davis, Oren Etzioni, and Daniel S. Weld. 2010. Learning First-Order Horn Clauses from Web Text. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). 1088--1098."},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11164"},{"key":"e_1_3_2_2_32_1","volume-title":"Proceedings of ICML. 9448--9457","author":"Teru Komal K.","year":"2020","unstructured":"Komal K. Teru, Etienne Denis, and Will Hamilton. 2020. Inductive Relation Prediction by Subgraph Reasoning. In Proceedings of ICML. 9448--9457. http:\/\/proceedings.mlr.press\/v119\/teru20a.html"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1174"},{"key":"e_1_3_2_2_34_1","volume-title":"Talukdar","author":"Vashishth Shikhar","year":"2020","unstructured":"Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, and Partha P. Talukdar. 2020. Composition-based Multi-Relational Graph Convolutional Networks. In Proceedings of ICLR. https:\/\/openreview.net\/forum?id=BylA_C4tPr"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","unstructured":"Severine Verlinden Klim Zaporojets Johannes Deleu Thomas Demeester and Chris Develder. 2021. Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution. In Findings of the Association for Computational Linguistics: ACL\/IJCNLP. 1952--1957. https:\/\/doi.org\/10.18653\/v1\/2021.findings-acl.171","DOI":"10.18653\/v1\/2021.findings-acl.171"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450043"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-acl.127"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8870"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.5555\/3016100.3016273"},{"key":"e_1_3_2_2_40_1","volume-title":"Proceedings of IJCAI. 2965--2971","author":"Xie Ruobing","year":"2016","unstructured":"Ruobing Xie, Zhiyuan Liu, and Maosong Sun. 2016a. Representation Learning of Knowledge Graphs with Hierarchical Types. In Proceedings of IJCAI. 2965--2971. http:\/\/www.ijcai.org\/Abstract\/16\/421"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1060"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","unstructured":"Fangzhi Xu Jun Liu Qika Lin Yudai Pan and Lingling Zhang. 2022. Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning. In SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM 1055--1065. https:\/\/doi.org\/10.1145\/3477495.3532016","DOI":"10.1145\/3477495.3532016"},{"key":"e_1_3_2_2_43_1","volume-title":"Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsm\"a ssan","author":"Xu Keyulu","year":"2018","unstructured":"Keyulu Xu, Chengtao Li, Yonglong Tian, Tomohiro Sonobe, Ken-ichi Kawarabayashi, and Stefanie Jegelka. 2018. Representation Learning on Graphs with Jumping Knowledge Networks. In Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsm\"a ssan, Stockholm, Sweden, July 10--15, 2018 (Proceedings of Machine Learning Research, Vol. 80), Jennifer G. Dy and Andreas Krause (Eds.). PMLR, 5449--5458. http:\/\/proceedings.mlr.press\/v80\/xu18c.html"},{"key":"e_1_3_2_2_44_1","volume-title":"Proceedings of ICLR. http:\/\/arxiv.org\/abs\/1412","author":"Yang Bishan","year":"2015","unstructured":"Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. 2015. Embedding Entities and Relations for Learning and Inference in Knowledge Bases. In Proceedings of ICLR. http:\/\/arxiv.org\/abs\/1412.6575"},{"key":"e_1_3_2_2_45_1","volume-title":"Cohen","author":"Yang Fan","year":"2017","unstructured":"Fan Yang, Zhilin Yang, and William W. Cohen. 2017. Differentiable Learning of Logical Rules for Knowledge Base Reasoning. In Advances in Neural Information Processing Systems (NIPS). 2319--2328. https:\/\/proceedings.neurips.cc\/paper\/2017\/hash\/0e55666a4ad822e0e34299df3591d979-Abstract.html"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2308.13916"},{"key":"e_1_3_2_2_47_1","volume-title":"Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018","author":"Yi Kexin","year":"2018","unstructured":"Kexin Yi, Jiajun Wu, Chuang Gan, Antonio Torralba, Pushmeet Kohli, and Josh Tenenbaum. 2018. Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding. In Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2019, , Samy Bengio, Hanna M. Wallach, Hugo Larochelle, Kristen Grauman, Nicol\u00f2 Cesa-Bianchi, and Roman Garnett (Eds.). 1039--1050. https:\/\/proceedings.neurips.cc\/paper\/2018\/hash\/5e388103a391daabe3de1d76a6739ccd-Abstract.html"},{"key":"e_1_3_2_2_48_1","volume-title":"Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021","author":"Ying Chengxuan","year":"2021","unstructured":"Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Shen, and Tie-Yan Liu. 2021. Do Transformers Really Perform Badly for Graph Representation?. In Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, and Jennifer Wortman Vaughan (Eds.). 28877--28888. https:\/\/proceedings.neurips.cc\/paper\/2021\/hash\/f1c1592588411002af340cbaedd6fc33-Abstract.html"},{"key":"e_1_3_2_2_49_1","volume-title":"Graph Transformer Networks. In Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019","author":"Yun Seongjun","year":"2019","unstructured":"Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, and Hyunwoo J. Kim. 2019. Graph Transformer Networks. In Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8--14, 2019, Vancouver, BC, Canada. 11960--11970. https:\/\/proceedings.neurips.cc\/paper\/2019\/hash\/9d63484abb477c97640154d40595a3bb-Abstract.html"},{"key":"e_1_3_2_2_50_1","unstructured":"Muhan Zhang and Yixin Chen. 2018. Link Prediction Based on Graph Neural Networks. In Advances in Neural Information Processing Systems (NIPS). 5171--5181. https:\/\/proceedings.neurips.cc\/paper\/2018\/hash\/53f0d7c537d99b3824f0f99d62ea2428-Abstract.html"},{"key":"e_1_3_2_2_51_1","unstructured":"Yichi Zhang Zhuo Chen Wen Zhang and Huajun Chen. 2023. Making Large Language Models Perform Better in Knowledge Graph Completion. arxiv: 2310.06671 [cs.CL]"},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512008"}],"event":{"name":"WWW '24: The ACM Web Conference 2024","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Singapore Singapore","acronym":"WWW '24"},"container-title":["Proceedings of the ACM Web Conference 2024"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589334.3645594","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3589334.3645594","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:23:40Z","timestamp":1755822220000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589334.3645594"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,13]]},"references-count":52,"alternative-id":["10.1145\/3589334.3645594","10.1145\/3589334"],"URL":"https:\/\/doi.org\/10.1145\/3589334.3645594","relation":{},"subject":[],"published":{"date-parts":[[2024,5,13]]},"assertion":[{"value":"2024-05-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}