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[8] Andrea Rossi, Denilson Barbosa, Donatella Firmani, Antonio Matinata, and Paolo Merialdo. Knowledge graph embedding for link prediction: A comparative analysis. ACM Transactions on Knowledge Discovery from Data (TKDD), 15(2):1\u201349, 2021."},{"key":"e_1_3_2_1_9_1","volume-title":"Translating embeddings for modeling multi-relational data. Advances in neural information processing systems, 26","author":"Bordes Antoine","year":"2013","unstructured":"[ 9 ] Antoine Bordes , Nicolas Usunier , Alberto Garcia-Duran , Jason Weston , and Oksana Yakhnenko . Translating embeddings for modeling multi-relational data. Advances in neural information processing systems, 26 , 2013 . [9] Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. Translating embeddings for modeling multi-relational data. Advances in neural information processing systems, 26, 2013."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8870"},{"key":"e_1_3_2_1_11_1","first-page":"337","volume-title":"Proceedings of the 28th Pacific Asia conference on language, information and computing","author":"Fan Miao","year":"2014","unstructured":"[ 11 ] Miao Fan , Qiang Zhou , Emily Chang , and Fang Zheng . Transition-based knowledge graph embedding with relational mapping properties . In Proceedings of the 28th Pacific Asia conference on language, information and computing , pages 328\u2013 337 , 2014 . [11] Miao Fan, Qiang Zhou, Emily Chang, and Fang Zheng. Transition-based knowledge graph embedding with relational mapping properties. In Proceedings of the 28th Pacific Asia conference on language, information and computing, pages 328\u2013337, 2014."},{"key":"e_1_3_2_1_12_1","first-page":"118","volume-title":"International Conference on Conceptual Modeling","author":"Xiong Shengwu","unstructured":"[ 12 ] Shengwu Xiong , Weitao Huang , and Pengfei Duan . Knowledge graph embedding via relation paths and dynamic mapping matrix . In International Conference on Conceptual Modeling , pages 106\u2013 118 . Springer, 2018. [12] Shengwu Xiong, Weitao Huang, and Pengfei Duan. Knowledge graph embedding via relation paths and dynamic mapping matrix. In International Conference on Conceptual Modeling, pages 106\u2013118. Springer, 2018."},{"key":"e_1_3_2_1_13_1","volume-title":"Icml","author":"Nickel Maximilian","year":"2011","unstructured":"[ 13 ] Maximilian Nickel , Volker Tresp , and Hans-Peter Kriegel . A three-way model for collective learning on multi-relational data . In Icml , 2011 . [13] Maximilian Nickel, Volker Tresp, and Hans-Peter Kriegel. A three-way model for collective learning on multi-relational data. In Icml, 2011."},{"key":"e_1_3_2_1_14_1","volume-title":"Embedding entities and relations for learning and inference in knowledge bases. arXiv preprint arXiv:1412.6575","author":"Yang Bishan","year":"2014","unstructured":"[ 14 ] Bishan Yang , Wen-tau Yih, Xiaodong He , Jianfeng Gao , and Li\u00a0Deng. Embedding entities and relations for learning and inference in knowledge bases. arXiv preprint arXiv:1412.6575 , 2014 . [14] Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li\u00a0Deng. Embedding entities and relations for learning and inference in knowledge bases. arXiv preprint arXiv:1412.6575, 2014."},{"key":"e_1_3_2_1_15_1","first-page":"2080","volume-title":"International conference on machine learning","author":"Trouillon Th\u00e9o","unstructured":"[ 15 ] Th\u00e9o Trouillon , Johannes Welbl , Sebastian Riedel , \u00c9ric Gaussier , and Guillaume Bouchard . Complex embeddings for simple link prediction . In International conference on machine learning , pages 2071\u2013 2080 . PMLR, 2016. [15] Th\u00e9o Trouillon, Johannes Welbl, Sebastian Riedel, \u00c9ric Gaussier, and Guillaume Bouchard. Complex embeddings for simple link prediction. In International conference on machine learning, pages 2071\u20132080. PMLR, 2016."},{"key":"e_1_3_2_1_16_1","first-page":"2178","volume-title":"International conference on machine learning","author":"Liu Hanxiao","unstructured":"[ 16 ] Hanxiao Liu , Yuexin Wu , and Yiming Yang . Analogical inference for multi-relational embeddings . In International conference on machine learning , pages 2168\u2013 2178 . PMLR, 2017. [16] Hanxiao Liu, Yuexin Wu, and Yiming Yang. Analogical inference for multi-relational embeddings. In International conference on machine learning, pages 2168\u20132178. PMLR, 2017."},{"key":"e_1_3_2_1_17_1","volume-title":"Simple embedding for link prediction in knowledge graphs. Advances in neural information processing systems, 31","author":"Kazemi Seyed\u00a0Mehran","year":"2018","unstructured":"[ 17 ] Seyed\u00a0Mehran Kazemi and David Poole . Simple embedding for link prediction in knowledge graphs. Advances in neural information processing systems, 31 , 2018 . [17] Seyed\u00a0Mehran Kazemi and David Poole. Simple embedding for link prediction in knowledge graphs. 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Advances in neural information processing systems, 26 , 2013 . [19] Richard Socher, Danqi Chen, Christopher\u00a0D Manning, and Andrew Ng. Reasoning with neural tensor networks for knowledge base completion. Advances in neural information processing systems, 26, 2013."},{"key":"e_1_3_2_1_20_1","volume-title":"Springer","author":"Schlichtkrull Michael","year":"2018","unstructured":"[ 20 ] Michael Schlichtkrull , Thomas\u00a0 N Kipf , Peter Bloem , Rianne van\u00a0den Berg , Ivan Titov , and Max Welling . Modeling relational data with graph convolutional networks. In European semantic web conference, pages 593\u2013607 . Springer , 2018 . [20] Michael Schlichtkrull, Thomas\u00a0N Kipf, Peter Bloem, Rianne van\u00a0den Berg, Ivan Titov, and Max Welling. Modeling relational data with graph convolutional networks. In European semantic web conference, pages 593\u2013607. Springer, 2018."},{"key":"e_1_3_2_1_21_1","volume-title":"Proceedings of the AAAI conference on artificial intelligence, volume\u00a032","author":"Dettmers Tim","year":"2018","unstructured":"[ 21 ] Tim Dettmers , Pasquale Minervini , Pontus Stenetorp , and Sebastian Riedel . Convolutional 2d knowledge graph embeddings . In Proceedings of the AAAI conference on artificial intelligence, volume\u00a032 , 2018 . [21] Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, and Sebastian Riedel. Convolutional 2d knowledge graph embeddings. In Proceedings of the AAAI conference on artificial intelligence, volume\u00a032, 2018."},{"key":"e_1_3_2_1_22_1","volume-title":"A novel embedding model for knowledge base completion based on convolutional neural network. arXiv preprint arXiv:1712.02121","author":"Nguyen Dai\u00a0Quoc","year":"2017","unstructured":"[ 22 ] Dai\u00a0Quoc Nguyen , Tu\u00a0Dinh Nguyen , Dat\u00a0Quoc Nguyen , and Dinh Phung . A novel embedding model for knowledge base completion based on convolutional neural network. arXiv preprint arXiv:1712.02121 , 2017 . [22] Dai\u00a0Quoc Nguyen, Tu\u00a0Dinh Nguyen, Dat\u00a0Quoc Nguyen, and Dinh Phung. A novel embedding model for knowledge base completion based on convolutional neural network. arXiv preprint arXiv:1712.02121, 2017."},{"key":"e_1_3_2_1_23_1","first-page":"8763","volume-title":"International conference on machine learning","author":"Radford Alec","unstructured":"[ 23 ] Alec Radford , Jong\u00a0Wook Kim , Chris Hallacy , Aditya Ramesh , Gabriel Goh , Sandhini Agarwal , Girish Sastry , Amanda Askell , Pamela Mishkin , Jack Clark , et\u00a0al. Learning transferable visual models from natural language supervision . In International conference on machine learning , pages 8748\u2013 8763 . PMLR, 2021. [23] Alec Radford, Jong\u00a0Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et\u00a0al. Learning transferable visual models from natural language supervision. In International conference on machine learning, pages 8748\u20138763. PMLR, 2021."},{"key":"e_1_3_2_1_24_1","first-page":"5594","volume-title":"International Conference on Machine Learning","author":"Kim Wonjae","unstructured":"[ 24 ] Wonjae Kim , Bokyung Son , and Ildoo Kim . Vilt : Vision-and-language transformer without convolution or region supervision . In International Conference on Machine Learning , pages 5583\u2013 5594 . PMLR, 2021. [24] Wonjae Kim, Bokyung Son, and Ildoo Kim. Vilt: Vision-and-language transformer without convolution or region supervision. In International Conference on Machine Learning, pages 5583\u20135594. PMLR, 2021."},{"key":"e_1_3_2_1_25_1","volume-title":"Image-embodied knowledge representation learning. arXiv preprint arXiv:1609.07028","author":"Xie Ruobing","year":"2016","unstructured":"[ 25 ] Ruobing Xie , Zhiyuan Liu , Huanbo Luan , and Maosong Sun . Image-embodied knowledge representation learning. arXiv preprint arXiv:1609.07028 , 2016 . [25] Ruobing Xie, Zhiyuan Liu, Huanbo Luan, and Maosong Sun. Image-embodied knowledge representation learning. arXiv preprint arXiv:1609.07028, 2016."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S18-2027"},{"key":"e_1_3_2_1_27_1","volume-title":"Devise: A deep visual-semantic embedding model. Advances in neural information processing systems, 26","author":"Frome Andrea","year":"2013","unstructured":"[ 27 ] Andrea Frome , Greg\u00a0 S Corrado , Jon Shlens , Samy Bengio , Jeff Dean , Marc\u2019Aurelio Ranzato , and Tomas Mikolov . Devise: A deep visual-semantic embedding model. Advances in neural information processing systems, 26 , 2013 . [27] Andrea Frome, Greg\u00a0S Corrado, Jon Shlens, Samy Bengio, Jeff Dean, Marc\u2019Aurelio Ranzato, and Tomas Mikolov. Devise: A deep visual-semantic embedding model. Advances in neural information processing systems, 26, 2013."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11155"},{"key":"e_1_3_2_1_29_1","first-page":"8","volume-title":"2019 International Joint Conference on Neural Networks (IJCNN)","author":"Wang Zikang","unstructured":"[ 29 ] Zikang Wang , Linjing Li , Qiudan Li , and Daniel Zeng . Multimodal data enhanced representation learning for knowledge graphs . In 2019 International Joint Conference on Neural Networks (IJCNN) , pages 1\u2013 8 . IEEE, 2019. [29] Zikang Wang, Linjing Li, Qiudan Li, and Daniel Zeng. Multimodal data enhanced representation learning for knowledge graphs. In 2019 International Joint Conference on Neural Networks (IJCNN), pages 1\u20138. 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An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929, 2020."},{"key":"e_1_3_2_1_33_1","first-page":"255","volume-title":"2009 IEEE conference on computer vision and pattern recognition","author":"Deng Jia","unstructured":"[ 33 ] Jia Deng , Wei Dong , Richard Socher , Li-Jia Li , Kai Li , and Li\u00a0Fei-Fei. Imagenet : A large-scale hierarchical image database . In 2009 IEEE conference on computer vision and pattern recognition , pages 248\u2013 255 . Ieee, 2009. [33] Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li\u00a0Fei-Fei. Imagenet: A large-scale hierarchical image database. In 2009 IEEE conference on computer vision and pattern recognition, pages 248\u2013255. Ieee, 2009."},{"key":"e_1_3_2_1_34_1","first-page":"2872","volume-title":"International Conference on Machine Learning","author":"Lacroix Timoth\u00e9e","unstructured":"[ 34 ] Timoth\u00e9e Lacroix , Nicolas Usunier , and Guillaume Obozinski . Canonical tensor decomposition for knowledge base completion . In International Conference on Machine Learning , pages 2863\u2013 2872 . PMLR, 2018. [34] Timoth\u00e9e Lacroix, Nicolas Usunier, and Guillaume Obozinski. Canonical tensor decomposition for knowledge base completion. In International Conference on Machine Learning, pages 2863\u20132872. 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