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Temporal knowledge graph (TKG) completion models typically rely on having access to the entire graph during training.
Temporal knowledge graph embedding model based on additive time series decomposition
Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, and Jens Lehmann. 2019 · 1911
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Temporal attribute prediction via joint modeling of multi-relational structure evolution
Sankalp Garg, Navodita Sharma, Woojeong Jin, and Xiang Ren. 2020 · 2003
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Temporal knowledge base completion: New algorithms and evaluation protocols
Prachi Jain, Sushant Rathi, Soumen Chakrabarti, et al. 2020 · 2005
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The yago-naga approach to knowledge discovery
Gjergji Kasneci, Maya Ramanath, Fabian Suchanek, and Gerhard Weikum. 2009 · 2009
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Temp: Temporal message passing for temporal knowledge graph completion
Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung, and William L Hamilton. 2020 · 2010
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Hyte: Hyperplane-based temporally aware knowledge graph embedding
Shib Sankar Dasgupta, Swayambhu Nath Ray, and Partha Talukdar. 2018 · 2011
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Dyernie: Dynamic evolution of riemannian manifold embeddings for temporal knowledge graph completion
Zhen Han, Peng Chen, Yunpu Ma, and Volker Tresp. 2020a · 2011
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xerte: Explainable reasoning on temporal knowledge graphs for forecasting future links
Zhen Han, Peng Chen, Yunpu Ma, and Volker Tresp. 2020b · 2012
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Learning from history: Modeling temporal knowledge graphs with sequential copy-generation networks
Cunchao Zhu, Muhao Chen, Changjun Fan, Guangquan Cheng, and Yan Zhan. 2020 · 2012
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Translating embeddings for modeling multi-relational data
Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013 · 2013
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Integrated crisis early warning system (icews) coded event data
E Boschee, J Lautenschlager, S O’Brien, S Shellman, J Starz, and M Ward. 2015 · 2015
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Prioritized experience replay
Tom Schaul, John Quan, Ioannis Antonoglou, and David Silver. 2016 · 2016
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Overcoming catastrophic forgetting in neural networks
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, et al. 2017 · 2017
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hdbscan: Hierarchical density based clustering
Leland McInnes, John Healy, and Steve Astels. 2017 · 2017
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Continual learning with deep generative replay
Hanul Shin, Jung Kwon Lee, Jaehong Kim, and Jiwon Kim. 2017 · 2017
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Know-evolve: Deep temporal reasoning for dynamic knowledge graphs
Rakshit Trivedi, Hanjun Dai, Yichen Wang, and Le Song. 2017 · 2017
Cited alongside, same era.
The temporal paradox of hebbian learning and homeostatic plasticity
Friedemann Zenke, Wulfram Gerstner, and Surya Ganguli. 2017 · 2017
Cited alongside, same era.
Learning sequence encoders for temporal knowledge graph completion
Alberto García-Durán, Sebastijan Dumančić, and Mathias Niepert. 2018 · 2018
Cited alongside, same era.
Deriving validity time in knowledge graph
Julien Leblay and Melisachew Wudage Chekol. 2018 · 2018
Cited alongside, same era.
Learning without forgetting
Zhizhong Li and Derek Hoiem. 2018 · 2018
Cited alongside, same era.
A sample aggregation approach to experiences replay of dyna-q learning
Haobin Shi, Shike Yang, Kao-Shing Hwang, Jialin Chen, Mengkai Hu, and Hengsheng Zhang. 2018 · 2018
Streaming graph neural networks via continual learning
Junshan Wang, Guojie Song, Yi Wu, and Liang Wang. 2020 · 2020
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Continual learning of knowledge graph embeddings
Angel Daruna, Mehul Gupta, Mohan Sridharan, and Sonia Chernova. 2021 · 2021
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Class-incremental experience replay for continual learning under concept drift
Lukasz Korycki and Bartosz Krawczyk. 2021 · 2021
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Virtual event, canada 1,2. 2021. temporal knowl-edge graph reasoning based on evolutional representation learning
Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang, and Xueqi Cheng. 2021 · 2021
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One-shot learning for temporal knowledge graphs
Mehrnoosh Mirtaheri, Mohammad Rostami, Xiang Ren, Fred Morstatter, and Aram Galstyan. 2021 · 2021
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Chronor: Rotation based temporal knowledge graph embedding
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Cited alongside, same era.
Enriching translation-based knowledge graph embeddings through continual learning
Hyun Je Song and Seong Bae Park. 2018 · 2018
Cited alongside, same era.
Memory efficient experience replay for streaming learning
Tyler L Hayes, Nathan D Cahill, and Christopher Kanan. 2019 · 2019
Cited alongside, same era.
Tensor-based method fortemporal geopolitical event forecasting
Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Tozammel Hossain, et al. 2019 · 2019
Cited alongside, same era.
Experience replay for continual learning
David Rolnick, Arun Ahuja, Jonathan Schwarz, Timothy Lillicrap, and Gregory Wayne. 2019 · 2019
Cited alongside, same era.
Hybrid-te: Hybrid translation-based temporal knowledge graph embedding
Zhihao Wang and Xin Li. 2019 · 2019
Cited alongside, same era.
Diachronic embedding for temporal knowledge graph completion
Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker, and Pascal Poupart. 2020 · 2020
Cited alongside, same era.
Ali Sadeghian, Mohammadreza Armandpour, Anthony Colas, and Daisy Zhe Wang. 2021 · 2021
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Graph-based continual learning
Binh Tang and David S Matteson. 2021 · 2021
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Tie: A framework for embedding-based incremental temporal knowledge graph completion
Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, and Jackie Chi Kit Cheung. 2021 · 2021
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Overcoming catastrophic forgetting in graph neural networks with experience replay
Fan Zhou and Chengtai Cao. 2021 · 2021
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Multilingual knowledge graph completion with self-supervised adaptive graph alignment
Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, and Wei Wang. 2022 · 2022
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Reasoning over different types of knowledge graphs: Static, temporal and multi-modal
Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, and Fuchun Sun. 2022 · 2022
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Temporal knowledge graph completion using box embeddings
Johannes Messner, Ralph Abboud, and Ismail Ilkan Ceylan. 2022 · 2022
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A comprehensive overview of knowledge graph completion
Tong Shen, Fu Zhang, and Jingwei Cheng. 2022 · 2022
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Simkgc: Simple contrastive knowledge graph completion with pre-trained language models
Liang Wang, Wei Zhao, Zhuoyu Wei, and Jingming Liu. 2022 · 2022
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