{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:16:05Z","timestamp":1750220165073,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":36,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T00:00:00Z","timestamp":1665360000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Opening Project of State Key Laboratory of Digital Publishing Technology of Founder Group"},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62072463, 71531012"],"award-info":[{"award-number":["62072463, 71531012"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Social Science Foundation of China","award":["18ZDA309"],"award-info":[{"award-number":["18ZDA309"]}]},{"name":"Research Seed Funds of School of Interdisciplinary Studies of Renmin University of China"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,10]]},"DOI":"10.1145\/3503161.3547981","type":"proceedings-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T15:43:01Z","timestamp":1665416581000},"page":"4063-4071","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["When True Becomes False"],"prefix":"10.1145","author":[{"given":"Xuan","family":"Zhang","sequence":"first","affiliation":[{"name":"Renmin University of China, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xun","family":"Liang","sequence":"additional","affiliation":[{"name":"Renmin University of China, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangping","family":"Zheng","sequence":"additional","affiliation":[{"name":"Renmin University of China, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Wu","sequence":"additional","affiliation":[{"name":"Renmin University of China, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuhui","family":"Guo","sequence":"additional","affiliation":[{"name":"Renmin University of China, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,10,10]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_3_2_2_1_1","DOI":"10.1145\/1376616.1376746"},{"key":"e_1_3_2_2_2_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 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5--8, 2013, Lake Tahoe, Nevada, United States . 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 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5--8, 2013, Lake Tahoe, Nevada, United States."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_3_1","DOI":"10.18653\/v1\/D19-1431"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_4_1","DOI":"10.14778\/3055540.3055549"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_5_1","DOI":"10.1609\/aaai.v32i1.11573"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_6_1","DOI":"10.24963\/ijcai.2020\/303"},{"key":"e_1_3_2_2_7_1","volume-title":"Proceedings of the 34th International Conference on Machine Learning, ICML 2017","author":"Finn Chelsea","year":"2017","unstructured":"Chelsea Finn , Pieter Abbeel , and Sergey Levine . 2017 . Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks . In Proceedings of the 34th International Conference on Machine Learning, ICML 2017 , Sydney, NSW, Australia, 6- -11 August 2017 (Proceedings of Machine Learning Research). Chelsea Finn, Pieter Abbeel, and Sergey Levine. 2017. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks. In Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6--11 August 2017 (Proceedings of Machine Learning Research)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_8_1","DOI":"10.18653\/v1\/2020.emnlp-main.596"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_9_1","DOI":"10.18653\/v1\/2020.acl-main.546"},{"key":"e_1_3_2_2_10_1","volume-title":"Link Prediction on N-ary Relational Data. In The World Wide Web Conference, WWW 2019","author":"Guan Saiping","year":"2019","unstructured":"Saiping Guan , Xiaolong Jin , Yuanzhuo Wang , and Xueqi Cheng . 2019 . Link Prediction on N-ary Relational Data. In The World Wide Web Conference, WWW 2019 , San Francisco, CA, USA, May 13--17 , 2019. Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, and Xueqi Cheng. 2019. Link Prediction on N-ary Relational Data. In The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13--17, 2019."},{"key":"e_1_3_2_2_11_1","volume-title":"MetaP: Meta Pattern Learning for One-Shot Knowledge Graph Completion. In SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","author":"Jiang Zhiyi","year":"2021","unstructured":"Zhiyi Jiang , Jianliang Gao , and Xinqi Lv . 2021 . MetaP: Meta Pattern Learning for One-Shot Knowledge Graph Completion. In SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval , Virtual Event, Canada, July 11--15 , 2021. Zhiyi Jiang, Jianliang Gao, and Xinqi Lv. 2021. MetaP: Meta Pattern Learning for One-Shot Knowledge Graph Completion. In SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11--15, 2021."},{"key":"e_1_3_2_2_12_1","volume-title":"Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases. In WWW '20: The Web Conference 2020","author":"Liu Yu","year":"2020","unstructured":"Yu Liu , Quanming Yao , and Yong Li . 2020 . Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases. In WWW '20: The Web Conference 2020 , Taipei, Taiwan, April 20--24 , 2020. Yu Liu, Quanming Yao, and Yong Li. 2020. Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases. In WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20--24, 2020."},{"key":"e_1_3_2_2_13_1","volume-title":"6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings.","author":"Mishra Nikhil","year":"2018","unstructured":"Nikhil Mishra , Mostafa Rohaninejad , Xi Chen , and Pieter Abbeel . 2018 . A Simple Neural Attentive Meta-Learner . In 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings. Nikhil Mishra, Mostafa Rohaninejad, Xi Chen, and Pieter Abbeel. 2018. A Simple Neural Attentive Meta-Learner. In 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings."},{"key":"e_1_3_2_2_14_1","volume-title":"Meta Networks. In Proceedings of the 34th International Conference on Machine Learning, ICML 2017","author":"Munkhdalai Tsendsuren","year":"2017","unstructured":"Tsendsuren Munkhdalai and Hong Yu . 2017 . Meta Networks. In Proceedings of the 34th International Conference on Machine Learning, ICML 2017 , Sydney, NSW, Australia, 6- -11 August 2017 (Proceedings of Machine Learning Research). Tsendsuren Munkhdalai and Hong Yu. 2017. Meta Networks. In Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6--11 August 2017 (Proceedings of Machine Learning Research)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_15_1","DOI":"10.1145\/3404835.3462925"},{"key":"e_1_3_2_2_16_1","volume-title":"Beyond Triplets: Hyper-Relational Knowledge Graph Embedding for Link Prediction. In WWW '20: The Web Conference 2020","author":"Rosso Paolo","year":"2020","unstructured":"Paolo Rosso , Dingqi Yang , and Philippe Cudr\u00e9 - Mauroux . 2020 . Beyond Triplets: Hyper-Relational Knowledge Graph Embedding for Link Prediction. In WWW '20: The Web Conference 2020 , Taipei, Taiwan, April 20--24 , 2020. Paolo Rosso, Dingqi Yang, and Philippe Cudr\u00e9 -Mauroux. 2020. Beyond Triplets: Hyper-Relational Knowledge Graph Embedding for Link Prediction. In WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20--24, 2020."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_17_1","DOI":"10.18653\/v1\/2020.emnlp-main.131"},{"key":"e_1_3_2_2_18_1","volume-title":"Prototypical Networks for Few-shot Learning. In Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017","author":"Snell Jake","year":"2017","unstructured":"Jake Snell , Kevin Swersky , and Richard S. Zemel . 2017 . Prototypical Networks for Few-shot Learning. In Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017 , December 4 --9 , 2017 , Long Beach, CA, USA. Jake Snell, Kevin Swersky, and Richard S. Zemel. 2017. Prototypical Networks for Few-shot Learning. In Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4--9, 2017, Long Beach, CA, USA."},{"key":"e_1_3_2_2_19_1","volume-title":"Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding. Advances in Neural Information Processing Systems","author":"Song Tengwei","year":"2021","unstructured":"Tengwei Song , Jie Luo , and Lei Huang . 2021. Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding. Advances in Neural Information Processing Systems ( 2021 ). Tengwei Song, Jie Luo, and Lei Huang. 2021. Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding. Advances in Neural Information Processing Systems (2021)."},{"key":"e_1_3_2_2_20_1","volume-title":"7th International Conference on Learning Representations, ICLR 2019","author":"Sun Zhiqing","year":"2019","unstructured":"Zhiqing Sun , Zhi-Hong Deng , Jian-Yun Nie , and Jian Tang . 2019 . RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space . In 7th International Conference on Learning Representations, ICLR 2019 , New Orleans, LA, USA, May 6--9 , 2019. Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, and Jian Tang. 2019. RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space. In 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6--9, 2019."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_21_1","DOI":"10.18653\/v1\/D15-1174"},{"key":"e_1_3_2_2_22_1","volume-title":"Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19--24, 2016 (JMLR Workshop and Conference Proceedings).","author":"Trouillon Th\u00e9","year":"2016","unstructured":"Th\u00e9 o Trouillon , Johannes Welbl , Sebastian Riedel , \u00c9 ric Gaussier, and Guillaume Bouchard . 2016 . Complex Embeddings for Simple Link Prediction . In Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19--24, 2016 (JMLR Workshop and Conference Proceedings). Th\u00e9 o Trouillon, Johannes Welbl, Sebastian Riedel, \u00c9 ric Gaussier, and Guillaume Bouchard. 2016. Complex Embeddings for Simple Link Prediction. In Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19--24, 2016 (JMLR Workshop and Conference Proceedings)."},{"key":"e_1_3_2_2_23_1","volume-title":"Visualizing data using t-SNE. Journal of machine learning research 11","author":"der Maaten Laurens Van","year":"2008","unstructured":"Laurens Van der Maaten and Geoffrey Hinton . 2008. Visualizing data using t-SNE. Journal of machine learning research 11 ( 2008 ). Laurens Van der Maaten and Geoffrey Hinton. 2008. Visualizing data using t-SNE. Journal of machine learning research 11 (2008)."},{"key":"e_1_3_2_2_24_1","volume-title":"Composition-based Multi-Relational Graph Convolutional Networks. In 8th International Conference on Learning Representations, ICLR 2020","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 8th International Conference on Learning Representations, ICLR 2020 , Addis Ababa, Ethiopia, April 26--30 , 2020 . Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, and Partha P. Talukdar. 2020. Composition-based Multi-Relational Graph Convolutional Networks. In 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26--30, 2020."},{"key":"e_1_3_2_2_25_1","volume-title":"Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan N. Gomez , Lukasz Kaiser , and Illia Polosukhin . 2017 . Attention is All you Need . In Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017 , December 4 --9 , 2017, Long Beach, CA, USA. Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention is All you Need. In Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4--9, 2017, Long Beach, CA, USA."},{"key":"e_1_3_2_2_26_1","volume-title":"Matching Networks for One Shot Learning. In Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016","author":"Vinyals Oriol","year":"2016","unstructured":"Oriol Vinyals , Charles Blundell , Tim Lillicrap , Koray Kavukcuoglu , and Daan Wierstra . 2016 . Matching Networks for One Shot Learning. In Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016 , December 5 --10 , 2016, Barcelona, Spain. Oriol Vinyals, Charles Blundell, Tim Lillicrap, Koray Kavukcuoglu, and Daan Wierstra. 2016. Matching Networks for One Shot Learning. In Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5--10, 2016, Barcelona, Spain."},{"key":"e_1_3_2_2_27_1","volume-title":"Coke: Contextualized knowledge graph embedding. arXiv preprint arXiv:1911.02168","author":"Wang Quan","year":"2019","unstructured":"Quan Wang , Pingping Huang , Haifeng Wang , Songtai Dai , Wenbin Jiang , Jing Liu , Yajuan Lyu , Yong Zhu , and Hua Wu . 2019 . Coke: Contextualized knowledge graph embedding. arXiv preprint arXiv:1911.02168 (2019). Quan Wang, Pingping Huang, Haifeng Wang, Songtai Dai, Wenbin Jiang, Jing Liu, Yajuan Lyu, Yong Zhu, and Hua Wu. 2019. Coke: Contextualized knowledge graph embedding. arXiv preprint arXiv:1911.02168 (2019)."},{"key":"e_1_3_2_2_28_1","volume-title":"Knowledge graph embedding: A survey of approaches and applications","author":"Wang Quan","year":"2017","unstructured":"Quan Wang , Zhendong Mao , Bin Wang , and Li Guo . 2017. Knowledge graph embedding: A survey of approaches and applications . IEEE Transactions on Knowledge and Data Engineering 12 ( 2017 ). Quan Wang, Zhendong Mao, Bin Wang, and Li Guo. 2017. Knowledge graph embedding: A survey of approaches and applications. IEEE Transactions on Knowledge and Data Engineering 12 (2017)."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_29_1","DOI":"10.18653\/v1\/2021.findings-acl.35"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_30_1","DOI":"10.5555\/2893873.2894046"},{"key":"e_1_3_2_2_31_1","volume-title":"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016","author":"Wen Jianfeng","year":"2016","unstructured":"Jianfeng Wen , Jianxin Li , Yongyi Mao , Shini Chen , and Richong Zhang . 2016 . On the Representation and Embedding of Knowledge Bases beyond Binary Relations . In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016 , New York, NY, USA, 9- -15 July 2016. Jianfeng Wen, Jianxin Li, Yongyi Mao, Shini Chen, and Richong Zhang. 2016. On the Representation and Embedding of Knowledge Bases beyond Binary Relations. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9--15 July 2016."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_32_1","DOI":"10.18653\/v1\/D18-1223"},{"key":"e_1_3_2_2_33_1","volume-title":"3rd International Conference on Learning Representations, ICLR","author":"Yang Bishan","year":"2015","unstructured":"Bishan Yang , Wen-tau Yih, Xiaodong He , Jianfeng Gao , and Li Deng . 2015a. Embedding Entities and Relations for Learning and Inference in Knowledge Bases . In 3rd International Conference on Learning Representations, ICLR 2015 , San Diego, CA , USA, May 7--9, 2015, Conference Track Proceedings . Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. 2015a. Embedding Entities and Relations for Learning and Inference in Knowledge Bases. In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7--9, 2015, Conference Track Proceedings."},{"key":"e_1_3_2_2_34_1","volume-title":"3rd International Conference on Learning Representations, ICLR","author":"Yang Bishan","year":"2015","unstructured":"Bishan Yang , Wen-tau Yih, Xiaodong He , Jianfeng Gao , and Li Deng . 2015b. Embedding Entities and Relations for Learning and Inference in Knowledge Bases . In 3rd International Conference on Learning Representations, ICLR 2015 , San Diego, CA , USA, May 7--9, 2015, Conference Track Proceedings . Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. 2015b. Embedding Entities and Relations for Learning and Inference in Knowledge Bases. In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7--9, 2015, Conference Track Proceedings."},{"key":"e_1_3_2_2_35_1","volume-title":"Chawla","author":"Zhang Chuxu","year":"2020","unstructured":"Chuxu Zhang , Huaxiu Yao , Chao Huang , Meng Jiang , Zhenhui Li , and Nitesh V . Chawla . 2020 . Few-Shot knowledge graph completion. In The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7--12, 2020. Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, and Nitesh V. Chawla. 2020. Few-Shot knowledge graph completion. In The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7--12, 2020."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_36_1","DOI":"10.1145\/3178876.3186017"}],"event":{"sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"acronym":"MM '22","name":"MM '22: The 30th ACM International Conference on Multimedia","location":"Lisboa Portugal"},"container-title":["Proceedings of the 30th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3547981","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3503161.3547981","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:00:31Z","timestamp":1750186831000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3547981"}},"subtitle":["Few-Shot Link Prediction beyond Binary Relations through Mining False Positive Entities"],"short-title":[],"issued":{"date-parts":[[2022,10,10]]},"references-count":36,"alternative-id":["10.1145\/3503161.3547981","10.1145\/3503161"],"URL":"https:\/\/doi.org\/10.1145\/3503161.3547981","relation":{},"subject":[],"published":{"date-parts":[[2022,10,10]]},"assertion":[{"value":"2022-10-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}