{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T11:13:44Z","timestamp":1767006824274,"version":"3.48.0"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T00:00:00Z","timestamp":1766966400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T00:00:00Z","timestamp":1766966400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62267005"],"award-info":[{"award-number":["62267005"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Chinese Guangxi Natural Science Foundation","award":["2023GXNSFAA026493"],"award-info":[{"award-number":["2023GXNSFAA026493"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Discov Computing"],"DOI":"10.1007\/s10791-025-09869-8","type":"journal-article","created":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T11:10:37Z","timestamp":1767006637000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A temporal knowledge graph completion method based on feature interaction enhancement"],"prefix":"10.1007","volume":"28","author":[{"given":"Yunsheng","family":"Xu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuanqiu","family":"Meng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Pan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,12,29]]},"reference":[{"key":"9869_CR1","doi-asserted-by":"publisher","first-page":"161897","DOI":"10.1109\/ACCESS.2024.3479774","volume":"12","author":"F Huo Qingfeng","year":"2024","unstructured":"Huo Qingfeng F, Huaqiao S, Caixia, et al. Knowledge graph based on reinforcement learning: A survey and new perspectives. IEEE Access. 2024;12:161897\u2013924.","journal-title":"IEEE Access"},{"key":"9869_CR2","doi-asserted-by":"crossref","unstructured":"Rani JS, Krishna Prasad MHM. Knowledge Graphs and Neural Networks in Recommendation Systems: A Comprehensive Survey and Future Directions\/\/In Proceedings of the 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), Bengaluru, India, 2025: 1163\u20131170.","DOI":"10.1109\/IDCIOT64235.2025.10914736"},{"key":"9869_CR3","doi-asserted-by":"crossref","unstructured":"Xu Zhentao CM, Jerome M, Guevara et al. Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering\/\/In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), New York, NY, USA, 2024: 2905\u20132909.","DOI":"10.1145\/3626772.3661370"},{"issue":"6","key":"9869_CR4","doi-asserted-by":"publisher","first-page":"3570","DOI":"10.1109\/TKDE.2025.3545958","volume":"37","author":"W Chen","year":"2025","unstructured":"Chen W, Liu X, Zhao Y, Zhang T, Wang L. Next-POI recommendation via Spatial-Temporal knowledge graph contrastive learning and trajectory prompt. IEEE Trans Knowl Data Eng. 2025;37(6):3570\u201382.","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"9869_CR5","unstructured":"Bordes Antoine U, Nicolas, Garcia-Dur\u00e1n A et al. Translating embeddings for modeling multi-relational data\/\/In Proceedings of the 27th International Conference on Neural Information Processing Systems (NIPS), Lake Tahoe, Nevada, United States, 2013: 2787\u2009\u2013\u2009279."},{"key":"9869_CR6","unstructured":"Jiang Tingsong L, Tianyu G, Tao et al. Towards Time-Aware Knowledge Graph Completion\/\/In Proceedings of the 26th International Conference on Computational Linguistics: Technical Papers (COLING), Osaka, Japan, 2016: 1715\u20131724."},{"key":"9869_CR7","unstructured":"Yang Bishan Y, Wen-tau H, Xiaodong et al. Embedding Entities and Relations for Learning and Inference in Knowledge Bases\/\/In Proceedings of the 3rd International Conference on Learning Representations (ICLR), San Diego, CA, USA, 2015: 1\u201312."},{"key":"9869_CR8","unstructured":"Th\u00e9o Trouillon J, Welbl S, Riedel, Complex embeddings for simple link prediction\/\/In Proceedings of the 33rd International Conference on International Conference on Machine, Learning et al. (ICML), New York, NY, USA, 2016, 48: 2071\u20132080."},{"key":"9869_CR9","doi-asserted-by":"crossref","unstructured":"Xu Chengjin N, Mojtaba C, Yung-Yu et al. Knowledge Graph Embeddings in Geometric Algebras\/\/In Proceedings of the 28th International Conference on Computational Linguistics (ICCL), Barcelona, Spain, 2020: 530\u2013544.","DOI":"10.18653\/v1\/2020.coling-main.46"},{"key":"9869_CR10","doi-asserted-by":"crossref","unstructured":"Garc\u00eda-Dur\u00e1n A, Duman\u010di\u0107, Sebastijan NM. Learning Sequence Encoders for Temporal Knowledge Graph Completion\/\/In Proceedings of the. 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium, 2018: 4816\u20134821.","DOI":"10.18653\/v1\/D18-1516"},{"issue":"8","key":"9869_CR11","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"Hochreiter","year":"1997","unstructured":"Hochreiter, Sepp. Schmidhuber J\u00fcrgen. Long short-term memory. Neural Comput. 1997;9(8):1735\u201380.","journal-title":"Neural Comput"},{"key":"9869_CR12","unstructured":"Lacroix T, Obozinski G, Usunier N. Tensor decompositions for temporal knowledge base completion\/\/International Conference on Learning Representations (ICLR), Addis Ababa, Ethiopia, 2020: 2765\u20132776."},{"key":"9869_CR13","doi-asserted-by":"crossref","unstructured":"Xu Chengjin CY-Y, Mojtaba N et al. Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings\/\/In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), 2021: 2569\u20132578.","DOI":"10.18653\/v1\/2021.naacl-main.202"},{"issue":"5","key":"9869_CR14","first-page":"4838","volume":"35","author":"N Xu Chengjin","year":"2023","unstructured":"Xu Chengjin N, Mojtaba C, Yung-Yu, et al. Geometric algebra based embeddings for static and Temporal knowledge graph completion. IEEE Trans Knowl Data Eng. 2023;35(5):4838\u201351.","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"9869_CR15","unstructured":"Prachi J, Rathi S et al. Mausam,. Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols\/\/In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Punta Cana, Dominican Republic, 2020: 3733\u20133747."},{"issue":"8","key":"9869_CR16","first-page":"111591","volume":"290","author":"R Yue Lupeng","year":"2024","unstructured":"Yue Lupeng R, Yongjian Z. Complex expressional characterizations learning based on block decomposition for Temporal knowledge graph completion. Knowl Based Syst. 2024;290(8):111591.","journal-title":"Knowl Based Syst"},{"key":"9869_CR17","doi-asserted-by":"publisher","first-page":"119853","DOI":"10.1016\/j.ins.2023.119853","volume":"654","author":"C Zhang Fu","year":"2024","unstructured":"Zhang Fu C, Hongzhi S, Yuzhe, et al. Joint framework for tensor decomposition-based Temporal knowledge graph completion. Inf Sci. 2024;654:119853.","journal-title":"Inf Sci"},{"issue":"2","key":"9869_CR18","first-page":"1","volume":"55","author":"C Wang Shuo","year":"2025","unstructured":"Wang Shuo C, Shuxu Z. Global and local information-aware relational graph convolutional network for Temporal knowledge graph completion. Appl Intell. 2025;55(2):1\u201315.","journal-title":"Appl Intell"},{"key":"9869_CR19","doi-asserted-by":"crossref","unstructured":"Dettmers Tim M, Pasquale S, Pontus et al. Convolutional 2d knowledge graph embeddings\/\/In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI), New Orleans, Lousiana, USA, 2018, 32(1): 1811\u20131818.","DOI":"10.1609\/aaai.v32i1.11573"},{"key":"9869_CR20","doi-asserted-by":"crossref","unstructured":"Vashishth Shikhar S, Soumya N, Vikram et al. Interacte: Improving convolution-based knowledge graph embeddings by increasing feature interactions\/\/In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI), New York, NY, USA, 2020, 34(03): 3009\u20133016.","DOI":"10.1609\/aaai.v34i03.5694"},{"issue":"3","key":"9869_CR21","doi-asserted-by":"publisher","first-page":"1016","DOI":"10.1007\/s12559-023-10134-7","volume":"15","author":"L Wei","year":"2023","unstructured":"Wei L, Zhihui WPZ, et al. Multi-Scale convolutional neural network for Temporal knowledge graph completion. Cogn Comput. 2023;15(3):1016\u201322.","journal-title":"Cogn Comput"},{"key":"9869_CR22","doi-asserted-by":"crossref","unstructured":"Li Y, Xiaoming Z, Bo Z et al. Each Snapshot to Each Space: Space Adaptation for Temporal Knowledge Graph Completion\/\/In Proceedings of the 21st International Semantic Web Conference (ISWC), Berlin, Heidelberg, 2022: 248\u2013266.","DOI":"10.1007\/978-3-031-19433-7_15"},{"key":"9869_CR23","unstructured":"Antonio O, Samuel S, Gu L et al. Albert,. Resurrecting recurrent neural networks for long sequences\/\/In Proceedings of the 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, 2023, 202: 26670\u201326698."},{"key":"9869_CR24","doi-asserted-by":"crossref","unstructured":"Ruixuan YU, Jiaqi GUO, Ming ZHAO et al. MTE: Multi Transformation of Entities in Quaternion Vector Space for Temporal Knowledge Graph Completion\/\/ Proceedings of the 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Toronto, Canada: IEEE, 2025: 1\u20135.","DOI":"10.1109\/ICASSP49660.2025.10890169"},{"issue":"3","key":"9869_CR25","doi-asserted-by":"publisher","first-page":"952","DOI":"10.23919\/cje.2024.00.182","volume":"34","author":"H Chen Yue","year":"2025","unstructured":"Chen Yue H, Yongzhong. A combination model of periodic and non-periodic events for Temporal knowledge graph event prediction. Chin J Electron. 2025;34(3):952\u201361.","journal-title":"Chin J Electron"},{"key":"9869_CR26","doi-asserted-by":"publisher","first-page":"119225","DOI":"10.1016\/j.ins.2023.119225","volume":"642","author":"M Hou Xiangning","year":"2023","unstructured":"Hou Xiangning M, Ruizhe, Li Y, et al. T-GAE: A timespan-aware graph attention-based embedding model for Temporal knowledge graph completion. Inf Sci. 2023;642:119225.","journal-title":"Inf Sci"},{"key":"9869_CR27","unstructured":"Mahdisoltani Farzaneh B, Joanna, Suchanek Fabian M. YAGO3: A Knowledge Base from Multilingual Wikipedias\/\/In Proceedings of the 7th Biennial Conference on Innovative Data Systems Research (CIDR), Asilomar, CA, USA, 2015: 177\u2013185."},{"issue":"10","key":"9869_CR28","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1145\/2629489","volume":"57","author":"Vrande\u010di\u0107","year":"2014","unstructured":"Vrande\u010di\u0107, Denny. Kr\u00f6tzsch Markus. Wikidata: a free collaborative knowledgebase. Commun ACM. 2014;57(10):78\u201385.","journal-title":"Commun ACM"},{"key":"9869_CR29","unstructured":"Sankar DS, Nath RS, Talukdar Partha. Hyte: Hyperplane-based temporally aware knowledge graph embedding\/\/In Proceedings of the,. 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), Brussels, Belgium, 2018: 2001\u20132011."},{"key":"9869_CR30","unstructured":"Glorot X. Bengio Yoshua. Understanding the difficulty of training deep feedforward neural networks\/\/In Proceedings of the 13th International Conference on Artificial Intelligence and Statistics (JMLR), Chia Laguna Resort, Sardinia, Italy, 2010, 9: 249\u2013256."},{"key":"9869_CR31","doi-asserted-by":"crossref","unstructured":"Zhang Yushun C, Congliang D, Tian et al. Why transformers need adam: A hessian perspective\/\/In Proceedings of the 38th International Conference on Neural Information Processing Systems (NIPS), Vancouver, BC, Canada, 2024, 37: 131786\u2013131823.","DOI":"10.52202\/079017-4190"}],"container-title":["Discover Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10791-025-09869-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10791-025-09869-8","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10791-025-09869-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T11:10:40Z","timestamp":1767006640000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10791-025-09869-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,29]]},"references-count":31,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["9869"],"URL":"https:\/\/doi.org\/10.1007\/s10791-025-09869-8","relation":{},"ISSN":["2948-2992"],"issn-type":[{"value":"2948-2992","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,29]]},"assertion":[{"value":"22 July 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 December 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 December 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"340"}}