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Multi-Modal Entity Alignment (MMEA) is a critical task that aims to identify equivalent entity pairs across multi-modal knowledge graphs (MMKGs).
Translating embeddings for modeling multi-relational data
Antoine Bordes, Nicolas Usunier, Alberto García-Durán, Jason Weston, and Oksana Yakhnenko. 2013 · 2013
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Vqa: Visual question answering
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C Lawrence Zitnick, and Devi Parikh. 2015 · 2015
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Where to look: Focus regions for visual question answering
Kevin J Shih, Saurabh Singh, and Derek Hoiem. 2016 · 2016
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Cross-lingual knowledge graph alignment via graph convolutional networks
Zhichun Wang, Qingsong Lv, Xiaohan Lan, and Yu Zhang. 2018a · 2018
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Cross-lingual knowledge graph alignment via graph convolutional networks
Zhichun Wang, Qingsong Lv, Xiaohan Lan, and Yu Zhang. 2018b · 2018
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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MMKG: multi-modal knowledge graphs
Ye Liu, Hui Li, Alberto García-Durán, Mathias Niepert, Daniel Oñoro-Rubio, and David S. Rosenblum. 2019 · 2019
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KGAT: knowledge graph attention network for recommendation
Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, and Tat-Seng Chua. 2019 · 2019
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MMEA: entity alignment for multi-modal knowledge graph
Liyi Chen, Zhi Li, Yijun Wang, Tong Xu, Zhefeng Wang, and Enhong Chen. 2020 · 2020
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K-BERT: enabling language representation with knowledge graph
Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, and Ping Wang. 2020a · 2020
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Exploring and evaluating attributes, values, and structures for entity alignment
Zhiyuan Liu, Yixin Cao, Liangming Pan, Juanzi Li, and Tat-Seng Chua. 2020b · 2020
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Multi-modal knowledge graphs for recommender systems
Rui Sun, Xuezhi Cao, Yan Zhao, Junchen Wan, Kun Zhou, Fuzheng Zhang, Zhongyuan Wang, and Kai Zheng. 2020 · 2020
Cited alongside, same era.
An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby. 2021 · 2021
Cited alongside, same era.
Multi-modal entity alignment in hyperbolic space
Hao Guo, Jiuyang Tang, Weixin Zeng, Xiang Zhao, and Li Liu. 2021 · 2021
Cited alongside, same era.
A survey on translating embedding based entity alignment in knowledge graphs
Jin Jiang, Mohan Li, and Zhaoquan Gu. 2021 · 2021
Cited alongside, same era.
Visual pivoting for (unsupervised) entity alignment
Fangyu Liu, Muhao Chen, Dan Roth, and Nigel Collier. 2021 · 2021
Cited alongside, same era.
Cross-domain aspect extraction using transformers augmented with knowledge graphs
Phillip Howard, Arden Ma, Vasudev Lal, Ana Paula Simões, Daniel Korat, Oren Pereg, Moshe Wasserblat, and Gadi Singer. 2022 · 2022
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Transformer-based entity typing in knowledge graphs
Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Ru Li, and Jeff Z. Pan. 2022 · 2022
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Multi-modal contrastive representation learning for entity alignment
Zhenxi Lin, Ziheng Zhang, Meng Wang, Yinghui Shi, Xian Wu, and Yefeng Zheng. 2022 · 2022
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Mask and reason: Pre-training knowledge graph transformers for complex logical queries
Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, and Jie Tang. 2022 · 2022
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A survey on cross-lingual summarization
Jiaan Wang, Fandong Meng, Duo Zheng, Yunlong Liang, Zhixu Li, Jianfeng Qu, and Jie Zhou. 2022 · 2022
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Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever. 2021 · 2021
Cited alongside, same era.
A review of entity alignment based on graph convolutional neural network
Zeshi Wang, Mohan Li, and Zhaoquan Gu. 2021 · 2021
Cited alongside, same era.
Alime MKG: A multi-modal knowledge graph for live-streaming e-commerce
Guohai Xu, Hehong Chen, Feng-Lin Li, Fu Sun, Yunzhou Shi, Zhixiong Zeng, Wei Zhou, Zhongzhou Zhao, and Ji Zhang. 2021 · 2021
Cited alongside, same era.
Cross-modal knowledge graph contrastive learning for machine learning method recommendation
Xianshuai Cao, Yuliang Shi, Jihu Wang, Han Yu, Xinjun Wang, and Zhongmin Yan. 2022 · 2022
Cited alongside, same era.
Meaformer: Multi-modal entity alignment transformer for meta modality hybrid
Zhuo Chen, Jiaoyan Chen, Wen Zhang, Lingbing Guo, Yin Fang, Yufeng Huang, Yuxia Geng, Jeff Z. Pan, Wenting Song, and Huajun Chen. 2022 · 2022
Cited alongside, same era.
Multi-modal cross-domain alignment network for video moment retrieval
Xiang Fang, Daizong Liu, Pan Zhou, and Yuchong Hu. 2022 · 2022
Cited alongside, same era.
You can ground earlier than see: An effective and efficient pipeline for temporal sentence grounding in compressed videos
Xiang Fang, Daizong Liu, Pan Zhou, and Guoshun Nan. 2023a
Cited in the paper.
MKE-GCN: multi-modal knowledge embedded graph convolutional network for skeleton-based action recognition in the wild
Sen Yang, Xuanhan Wang, Lianli Gao, and Jingkuan Song. 2022 · 2022
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Kformer: Knowledge injection in transformer feed-forward layers
Yunzhi Yao, Shaohan Huang, Li Dong, Furu Wei, Huajun Chen, and Ningyu Zhang. 2022 · 2022
Later among the works it cites.
Multi-modal knowledge graph construction and application: A survey
Xiangru Zhu, Zhixu Li, Xiaodan Wang, Xueyao Jiang, Penglei Sun, Xuwu Wang, Yanghua Xiao, and Nicholas Jing Yuan. 2022 · 2022
Later among the works it cites.
Attribute-consistent knowledge graph representation learning for multi-modal entity alignment
Qian Li, Shu Guo, Yangyifei Luo, Cheng Ji, Lihong Wang, Jiawei Sheng, and Jianxin Li. 2023a · 2023
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Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing
Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig. 2023 · 2023
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Towards unifying multi-lingual and cross-lingual summarization
Jiaan Wang, Fandong Meng, Duo Zheng, Yunlong Liang, Zhixu Li, Jianfeng Qu, and Jie Zhou. 2023 · 2023
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