{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T14:02:42Z","timestamp":1787061762332,"version":"3.56.0"},"publisher-location":"New York, NY, USA","reference-count":55,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,21]],"date-time":"2024-10-21T00:00:00Z","timestamp":1729468800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Zhejiang Province ?JianBingLingYan+X? Research and Development Plan","award":["2024C01114"],"award-info":[{"award-number":["2024C01114"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,21]]},"DOI":"10.1145\/3627673.3679683","type":"proceedings-article","created":{"date-parts":[[2024,10,20]],"date-time":"2024-10-20T15:34:21Z","timestamp":1729438461000},"page":"1493-1502","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-3639-1666","authenticated-orcid":false,"given":"Yichen","family":"Liu","sequence":"first","affiliation":[{"name":"College of Computer Science, Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4752-2629","authenticated-orcid":false,"given":"Jiawei","family":"Chen","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Blockchain and Data Security, Zhejiang University & China and Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0833-7401","authenticated-orcid":false,"given":"Defang","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Computer Science, Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-3668-5842","authenticated-orcid":false,"given":"Zhehui","family":"Zhou","sequence":"additional","affiliation":[{"name":"College of Computer Science, Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3605-5404","authenticated-orcid":false,"given":"Yan","family":"Feng","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Blockchain and Data Security, Zhejiang University & China and College of Computer Science, Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5890-4307","authenticated-orcid":false,"given":"Can","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Blockchain and Data Security, Zhejiang University & China and Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,10,21]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"257","volume-title":"Proceedings of the International Conference on Machine Learning","volume":"119","author":"Amin Saadullah","year":"2020","unstructured":"Saadullah Amin, Stalin Varanasi, Katherine Ann Dunfield, and G\u00fcnter Neumann. Lowfer: Low-rank bilinear pooling for link prediction. In Proceedings of the International Conference on Machine Learning, volume 119, pages 257--268. PMLR, 2020."},{"key":"e_1_3_2_1_2_1","first-page":"553","volume-title":"International Conference on Artificial Neural Networks","volume":"11731","author":"Balazevic Ivana","year":"2019","unstructured":"Ivana Balazevic, Carl Allen, and Timothy M. Hospedales. Hypernetwork knowledge graph embeddings. In International Conference on Artificial Neural Networks, volume 11731, pages 553--565. Springer, 2019."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1522"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1067"},{"key":"e_1_3_2_1_5_1","first-page":"2787","volume-title":"Advances in Neural Information Processing Systems","author":"Bordes Antoine","year":"2013","unstructured":"Antoine Bordes, Nicolas Usunier, Alberto Garc\u00eda-Dur\u00e1n, Jason Weston, and Oksana Yakhnenko. Translating embeddings for modeling multi-relational data. In Advances in Neural Information Processing Systems, pages 2787--2795, 2013."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313705"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i5.20491"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01163"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i8.16865"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539597.3570477"},{"key":"e_1_3_2_1_11_1","volume-title":"Distillation matters: Empowering sequential recommenders to match the performance of large language model. arXiv preprint arXiv:2405.00338","author":"Cui Yu","year":"2024","unstructured":"Yu Cui, Feng Liu, Pengbo Wang, Bohao Wang, Heng Tang, Yi Wan, Jun Wang, and Jiawei Chen. Distillation matters: Empowering sequential recommenders to match the performance of large language model. arXiv preprint arXiv:2405.00338, 2024."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i8.16885"},{"key":"e_1_3_2_1_13_1","first-page":"1811","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","author":"Dettmers Tim","year":"2018","unstructured":"Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, and Sebastian Riedel. Convolutional 2d knowledge graph embeddings. In Proceedings of the AAAI Conference on Artificial Intelligence, pages 1811--1818. AAAI Press, 2018."},{"key":"e_1_3_2_1_14_1","first-page":"1607","volume-title":"International Conference on Machine Learning","author":"Furlanello Tommaso","year":"2018","unstructured":"Tommaso Furlanello, Zachary Lipton, Michael Tschannen, Laurent Itti, and Anima Anandkumar. Born again neural networks. In International Conference on Machine Learning, pages 1607--1616. PMLR, 2018."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.384"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1021"},{"key":"e_1_3_2_1_17_1","volume-title":"Distilling the knowledge in a neural network. CoRR, abs\/1503.02531","author":"Hinton Geoffrey E.","year":"2015","unstructured":"Geoffrey E. Hinton, Oriol Vinyals, and Jeffrey Dean. Distilling the knowledge in a neural network. CoRR, abs\/1503.02531, 2015."},{"key":"e_1_3_2_1_18_1","volume-title":"International Conference on Learning Representations","author":"Huang Gao","year":"2017","unstructured":"Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, and Kilian Q. Weinberger. Snapshot ensembles: Train 1, get m for free. In International Conference on Learning Representations, 2017."},{"key":"e_1_3_2_1_19_1","first-page":"448","volume-title":"Proceedings of the International Conference on Machine Learning","volume":"37","author":"Ioffe Sergey","year":"2015","unstructured":"Sergey Ioffe and Christian Szegedy. Batch normalization: Accelerating deep network training by reducing internal covariate shift. In Proceedings of the International Conference on Machine Learning, volume 37, pages 448--456. JMLR.org, 2015."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1067"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10089"},{"key":"e_1_3_2_1_22_1","first-page":"978","volume-title":"Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","author":"Jiang Xiaotian","year":"2019","unstructured":"Xiaotian Jiang, Quan Wang, and Bin Wang. Adaptive convolution for multirelational learning. In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 978--987. Association for Computational Linguistics, 2019."},{"key":"e_1_3_2_1_23_1","first-page":"6547","volume-title":"IEEE\/CVF International Conference on Computer Vision","author":"Kim Kyungyul","year":"2021","unstructured":"Kyungyul Kim, Byeongmoon Ji, Doyoung Yoon, and Sangheum Hwang. Selfknowledge distillation with progressive refinement of targets. In IEEE\/CVF International Conference on Computer Vision, pages 6547--6556. IEEE, 2021."},{"key":"e_1_3_2_1_24_1","volume-title":"International Conference on Learning Representations","author":"Diederik","year":"2015","unstructured":"Diederik P. Kingma and Jimmy Ba. Adam: A method for stochastic optimization. In International Conference on Learning Representations, 2015."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3184558.3191639"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v29i1.9491"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i4.25570"},{"key":"e_1_3_2_1_28_1","volume-title":"CIDR","author":"Mahdisoltani Farzaneh","year":"2013","unstructured":"Farzaneh Mahdisoltani, Joanna Biega, and Fabian M Suchanek. Yago3: A knowledge base from multilingual wikipedias. In CIDR, 2013."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5963"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00409"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.3233\/SW-160218"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.134"},{"key":"e_1_3_2_1_33_1","volume-title":"International Conference on Learning Representations","author":"Romero Adriana","year":"2015","unstructured":"Adriana Romero, Nicolas Ballas, Samira Ebrahimi Kahou, Antoine Chassang, Carlo Gatta, and Yoshua Bengio. Fitnets: Hints for thin deep nets. In International Conference on Learning Representations, 2015."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.489"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.5555\/2627435.2670313"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/1242572.1242667"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W15-4007"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1174"},{"key":"e_1_3_2_1_39_1","first-page":"2071","volume-title":"Proceedings of the International Conference on Machine Learning","volume":"48","author":"Trouillon Th\u00e9o","year":"2016","unstructured":"Th\u00e9o Trouillon, Johannes Welbl, Sebastian Riedel, \u00c9ric Gaussier, and Guillaume Bouchard. Complex embeddings for simple link prediction. In Proceedings of the International Conference on Machine Learning, volume 48, pages 2071--2080. JMLR.org, 2016."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i03.5694"},{"issue":"6","key":"e_1_3_2_1_41_1","first-page":"6305","article-title":"Semantic calibration for cross-layer knowledge distillation","volume":"35","author":"Wang Can","year":"2022","unstructured":"Can Wang, Defang Chen, Jian-Ping Mei, Yuan Zhang, Yan Feng, and Chun Chen. Semckd: Semantic calibration for cross-layer knowledge distillation. IEEE Transactions on Knowledge and Data Engineering, 35(6):6305--6319, 2022.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449898"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8870"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/ASONAM.2018.8508272"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482424"},{"key":"e_1_3_2_1_46_1","volume-title":"International Conference on Learning Representations","author":"Yang Bishan","year":"2015","unstructured":"Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. Embedding entities and relations for learning and inference in knowledge bases. In International Conference on Learning Representations, 2015."},{"key":"e_1_3_2_1_47_1","first-page":"2859","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Yang Chenglin","year":"2019","unstructured":"Chenglin Yang, Lingxi Xie, Chi Su, and Alan L Yuille. Snapshot distillation: Teacher-student optimization in one generation. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pages 2859--2868, 2019."},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i4.25605"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01389"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01389"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939673"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00381"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3005952"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.108100"},{"key":"e_1_3_2_1_55_1","first-page":"1516","volume-title":"The ACM International Conference on Web Search and Data Mining","author":"Zhu Yushan","year":"2022","unstructured":"Yushan Zhu, Wen Zhang, Mingyang Chen, Hui Chen, Xu Cheng, Wei Zhang, and Huajun Chen. Dualde: Dually distilling knowledge graph embedding for faster and cheaper reasoning. In The ACM International Conference on Web Search and Data Mining, pages 1516--1524. ACM, 2022."}],"event":{"name":"CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management","location":"Boise ID USA","acronym":"CIKM '24","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 33rd ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627673.3679683","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3627673.3679683","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T20:58:13Z","timestamp":1750280293000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627673.3679683"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,21]]},"references-count":55,"alternative-id":["10.1145\/3627673.3679683","10.1145\/3627673"],"URL":"https:\/\/doi.org\/10.1145\/3627673.3679683","relation":{},"subject":[],"published":{"date-parts":[[2024,10,21]]},"assertion":[{"value":"2024-10-21","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}