{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T18:26:50Z","timestamp":1775845610540,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":40,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,4,22]],"date-time":"2025-04-22T00:00:00Z","timestamp":1745280000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62302130, 62302131"],"award-info":[{"award-number":["62302130, 62302131"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,4,22]]},"DOI":"10.1145\/3696410.3714781","type":"proceedings-article","created":{"date-parts":[[2025,4,22]],"date-time":"2025-04-22T22:57:28Z","timestamp":1745362648000},"page":"109-118","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Towards Multimodal Inductive Learning: Adaptively Embedding MMKG via Prototypes"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-4454-9889","authenticated-orcid":false,"given":"Shundong","family":"Yang","sequence":"first","affiliation":[{"name":"Zhengzhou University, Zhengzhou, Henan, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-4682-4839","authenticated-orcid":false,"given":"Jing","family":"Yang","sequence":"additional","affiliation":[{"name":"Zhengzhou University, Zhengzhou, Henan, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9773-1265","authenticated-orcid":false,"given":"Xiaowen","family":"Jiang","sequence":"additional","affiliation":[{"name":"Zhengzhou University, Zhengzhou, Henan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4096-9134","authenticated-orcid":false,"given":"Yuan","family":"Gao","sequence":"additional","affiliation":[{"name":"Zhengzhou University, Zhengzhou, Henan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7986-4244","authenticated-orcid":false,"given":"Laurence T.","family":"Yang","sequence":"additional","affiliation":[{"name":"Zhengzhou University, Zhengzhou, Henan, China and Huazhong University of Science and Technology, Wuhan, Hubei, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-6015-9992","authenticated-orcid":false,"given":"Ruikun","family":"Luo","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology, Wuhan, Hubei, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9584-2160","authenticated-orcid":false,"given":"Jieming","family":"Yang","sequence":"additional","affiliation":[{"name":"Zhengzhou University, Zhengzhou, Henan, China"}]}],"member":"320","published-online":{"date-parts":[[2025,4,22]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Dbpedia: A nucleus for a web of open data. In international semantic web conference","author":"Auer S\u00f6ren","year":"2007","unstructured":"S\u00f6ren Auer, Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak, and Zachary Ives. 2007. Dbpedia: A nucleus for a web of open data. In international semantic web conference. Springer, 722--735."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1376616.1376746"},{"key":"e_1_3_2_1_3_1","volume-title":"Proc. of NeurIPS","volume":"26","author":"Bordes Antoine","year":"2013","unstructured":"Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. Proc. of NeurIPS, Vol. 26 (2013)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/273"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531757"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Xiang Chen Ningyu Zhang Lei Li Shumin Deng Chuanqi Tan Changliang Xu Fei Huang Luo Si and Huajun Chen. 2022a. Hybrid transformer with multi-level fusion for multimodal knowledge graph completion. In ACM SIGIR. 904--915.","DOI":"10.1145\/3477495.3531992"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450141"},{"key":"e_1_3_2_1_8_1","volume-title":"Towards Foundation Models for Knowledge Graph Reasoning. In The Twelfth International Conference on Learning Representations.","author":"Galkin Mikhail","year":"2024","unstructured":"Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, and Zhaocheng Zhu. 2024. Towards Foundation Models for Knowledge Graph Reasoning. In The Twelfth International Conference on Learning Representations."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3579051.3579066"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/250"},{"key":"e_1_3_2_1_11_1","volume-title":"Advances in Neural Information Processing Systems","volume":"36","author":"Huang Xingyue","year":"2024","unstructured":"Xingyue Huang, Miguel Romero, Ismail Ceylan, and Pablo Barcel\u00f3. 2024. A theory of link prediction via relational weisfeiler-leman on knowledge graphs. Advances in Neural Information Processing Systems, Vol. 36 (2024)."},{"key":"e_1_3_2_1_12_1","first-page":"1258","article-title":"MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product","volume":"20","author":"Huang Zhichao","year":"2020","unstructured":"Zhichao Huang, Xutao Li, Yunming Ye, and Michael K Ng. 2020. MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product.. In IJCAI, Vol. 20. 1258--1264.","journal-title":"IJCAI"},{"key":"e_1_3_2_1_13_1","volume-title":"Proceedings of the 40th International Conference on Machine Learning. 18796--18809","author":"Jaejun Lee Chanyoung Chung","year":"2023","unstructured":"Chanyoung Chung Jaejun Lee and Joyce Jiyoung Whang. 2023. InGram: Inductive knowledge graph embedding via relation graphs. In Proceedings of the 40th International Conference on Machine Learning. 18796--18809."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Ranjay Krishna Yuke Zhu Oliver Groth Justin Johnson Kenji Hata Joshua Kravitz Stephanie Chen Yannis Kalantidis Li-Jia Li David A Shamma et al. 2017. Visual genome: Connecting language and vision using crowdsourced dense image annotations. International journal of computer vision (2017).","DOI":"10.1007\/s11263-016-0981-7"},{"key":"e_1_3_2_1_15_1","volume-title":"VISTA: Visual-Textual Knowledge Graph Representation Learning. In EMNLP.","author":"Lee Jaejun","year":"2023","unstructured":"Jaejun Lee, Chanyoung Chung, Hochang Lee, Sungho Jo, and Joyce Whang. 2023. VISTA: Visual-Textual Knowledge Graph Representation Learning. In EMNLP."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583554"},{"key":"e_1_3_2_1_17_1","volume-title":"Proceedings of the 35th Conference on Neural Information Processing Systems. 2034--2045","author":"Liu Shuwen","year":"2021","unstructured":"Shuwen Liu, Bernardo Grau, Ian Horrocks, and Egor Kostylev. 2021. INDIGO: GNN-based inductive knowledge graph completion using pair-wise encoding.. In Proceedings of the 35th Conference on Neural Information Processing Systems. 2034--2045."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Ye Liu Hui Li Alberto Garcia-Duran Mathias Niepert Daniel Onoro-Rubio and David S Rosenblum. 2019. MMKG: multi-modal knowledge graphs. In ESWC.","DOI":"10.1007\/978-3-030-21348-0_30"},{"key":"e_1_3_2_1_19_1","volume-title":"TCM-KDIF: An Information Interaction Framework Driven by Knowledge-Data and Its Clinical Application in Traditional Chinese Medicine","author":"Liu Zhi","year":"2024","unstructured":"Zhi Liu, Jiaxi Yang, Kui Chen, Tao Yang, Xiaochen Li, Bingjie Lu, Dianzheng Fu, Zeyu Zheng, and Changyong Luo. 2024. TCM-KDIF: An Information Interaction Framework Driven by Knowledge-Data and Its Clinical Application in Traditional Chinese Medicine. IEEE Internet of Things Journal (2024)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16554"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"Hatem Mousselly-Sergieh Teresa Botschen Iryna Gurevych and Stefan Roth. 2018a. A multimodal translation-based approach for knowledge graph representation learning. In SEMEAVL. 225--234.","DOI":"10.18653\/v1\/S18-2027"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Hatem Mousselly-Sergieh Teresa Botschen Iryna Gurevych and Stefan Roth. 2018b. A multimodal translation-based approach for knowledge graph representation learning. In AACL. 225--234.","DOI":"10.18653\/v1\/S18-2027"},{"key":"e_1_3_2_1_23_1","unstructured":"Daniel O noro-Rubio Mathias Niepert Alberto Garc\u00eda-Dur\u00e1n Roberto Gonz\u00e1lez-S\u00e1nchez and Roberto J L\u00f3pez-Sastre. 2019. Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs. (2019)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Pouya Pezeshkpour Liyan Chen and Sameer Singh. 2018. Embedding Multimodal Relational Data for Knowledge Base Completion. In EMNLP.","DOI":"10.18653\/v1\/D18-1359"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/1242572.1242667"},{"key":"e_1_3_2_1_26_1","volume-title":"International Conference on Machine Learning. 9448--9457","author":"Teru Komal","year":"2020","unstructured":"Komal Teru, Etienne Denis, and Will Hamilton. 2020. Inductive relation prediction by subgraph reasoning. In International Conference on Machine Learning. 9448--9457."},{"key":"e_1_3_2_1_27_1","volume-title":"Proceedings of the 8th International Conference on Learning Representations. 1--15","author":"Vashishth Shikhar","year":"2020","unstructured":"Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, and Partha Talukdar. 2020. Composition-based multi-relational graph convolutional networks. In Proceedings of the 8th International Conference on Learning Representations. 1--15."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i4.20337"},{"key":"e_1_3_2_1_29_1","volume-title":"M3KGR: A Momentum Contrastive Multi-Modal Knowledge Graph Learning Framework for Recommendation. Information Sciences","author":"Wei Zihan","year":"2024","unstructured":"Zihan Wei, Ke Wang, Fengxia Li, and Yina Ma. 2024. M3KGR: A Momentum Contrastive Multi-Modal Knowledge Graph Learning Framework for Recommendation. Information Sciences (2024), 120812."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"Zhebin Wu Lin Shu Ziyue Xu Yaomin Chang Chuan Chen and Zibin Zheng. 2022. Robust tensor graph convolutional networks via t-svd based graph augmentation. In KDD. 2090--2099.","DOI":"10.1145\/3534678.3539436"},{"key":"e_1_3_2_1_31_1","unstructured":"Ruobing Xie Zhiyuan Liu Huanbo Luan and Maosong Sun. 2017. Image-embodied Knowledge Representation Learning. In IJCAI."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"crossref","unstructured":"Derong Xu Tong Xu Shiwei Wu Jingbo Zhou and Enhong Chen. 2022. Relation-enhanced negative sampling for multimodal knowledge graph completion. In ACM MM. 3857--3866.","DOI":"10.1145\/3503161.3548388"},{"key":"e_1_3_2_1_33_1","volume-title":"Xiaodong He, Jianfeng Gao, and Li Deng.","author":"Yang Bishan","year":"2015","unstructured":"Bishan Yang, Scott Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. 2015. Embedding Entities and Relations for Learning and Inference in Knowledge Bases. In ICLR."},{"key":"e_1_3_2_1_34_1","volume-title":"JieMing Yang, et al. [n.,d.]. Generalize to Fully Unseen Graphs: Learn Transferable Hyper-Relation Structures for Inductive Link Prediction. In ACM Multimedia","author":"Yang Jing","year":"2024","unstructured":"Jing Yang, Xiaowen Jiang, Yuan Gao, Laurence Tianruo Yang, JieMing Yang, et al. [n.,d.]. Generalize to Fully Unseen Graphs: Learn Transferable Hyper-Relation Structures for Inductive Link Prediction. In ACM Multimedia 2024."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3681696"},{"key":"e_1_3_2_1_36_1","volume-title":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases.","author":"Zhang Xuan","year":"2022","unstructured":"Xuan Zhang, Xun Liang, Xiangping Zheng, Bo Wu, and Yuhui Guo. 2022. MULTIFORM: few-shot knowledge graph completion via multi-modal contexts. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657800"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"crossref","unstructured":"Yichi Zhang Zhuo Chen Lingbing Guo Yajing Xu Binbin Hu Ziqi Liu Wen Zhang and Huajun Chen. 2024b. NativE: Multi-modal Knowledge Graph Completion in the Wild. In SIGIR. ACM 91--101.","DOI":"10.1145\/3626772.3657800"},{"key":"e_1_3_2_1_39_1","volume-title":"Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion. LREC-COLING","author":"Zhang Yichi","year":"2024","unstructured":"Yichi Zhang, Zhuo Chen, Lei Liang, Huajun Chen, and Wen Zhang. 2024c. Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion. LREC-COLING (2024)."},{"key":"e_1_3_2_1_40_1","volume-title":"Proceedings of the 35th Conference on Neural Information Processing System. 29476--29490","author":"Zhu Zhaocheng","year":"2021","unstructured":"Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal Xhonneux, and Jian Tang. 2021. Neural bellman-ford networks: A general graph neural network framework for link prediction. In Proceedings of the 35th Conference on Neural Information Processing System. 29476--29490."}],"event":{"name":"WWW '25: The ACM Web Conference 2025","location":"Sydney NSW Australia","acronym":"WWW '25","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the ACM on Web Conference 2025"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3696410.3714781","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3696410.3714781","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:18:41Z","timestamp":1750295921000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3696410.3714781"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,22]]},"references-count":40,"alternative-id":["10.1145\/3696410.3714781","10.1145\/3696410"],"URL":"https:\/\/doi.org\/10.1145\/3696410.3714781","relation":{},"subject":[],"published":{"date-parts":[[2025,4,22]]},"assertion":[{"value":"2025-04-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}