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Temporal knowledge graph (TKG) reasoning is a crucial task that has gained increasing research interest in recent years.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J Williams. 1992 · 1992
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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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A three-way model for collective learning on multi-relational data
Maximilian Nickel, Volker Tresp, and Hans-Peter Kriegel. 2011 · 2011
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T-GAP: Learning to walk across time for temporal knowledge graph completion
Jaehun Jung, Jinhong Jung, and U Kang. 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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ICEWS Coded Event Data
Elizabeth Boschee, Jennifer Lautenschlager, Sean O’Brien, Steve Shellman, James Starz, and Michael Ward. 2015 · 2015
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Modeling relation paths for representation learning of knowledge bases
Yankai Lin, Zhiyuan Liu, Huanbo Luan, Maosong Sun, Siwei Rao, and Song Liu. 2015 · 2015
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YAGO3: A knowledge base from multilingual wikipedias
Farzaneh Mahdisoltani, Joanna Biega, and Fabian M. Suchanek. 2015 · 2015
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Towards time-aware knowledge graph completion
Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Baobao Chang, Sujian Li, and Zhifang Sui. 2016a · 2016
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Towards time-aware knowledge graph completion
Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Baobao Chang, Sujian Li, and Zhifang Sui. 2016b · 2016
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Inductive representation learning on large graphs
William L. Hamilton, Zhitao Ying, and Jure Leskovec. 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
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DeepPath: A reinforcement learning method for knowledge graph reasoning
Wenhan Xiong, Thien Hoang, and William Yang Wang. 2017 · 2017
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Go for a walk and arrive at the answer: Reasoning over paths in knowledge bases using reinforcement learning
Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, and Andrew McCallum. 2018 · 2018
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Convolutional 2D knowledge graph embeddings
Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, and Sebastian Riedel. 2018 · 2018
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Learning sequence encoders for temporal knowledge graph completion
Alberto García-Durán, Sebastijan Dumancic, and Mathias Niepert. 2018 · 2018
Cited alongside, same era.
Deriving validity time in knowledge graph
Julien Leblay and Melisachew Wudage Chekol. 2018b · 2018
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Multi-hop knowledge graph reasoning with reward shaping
Xi Victoria Lin, Richard Socher, and Caiming Xiong. 2018 · 2018
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Modeling relational data with graph convolutional networks
Diachronic embedding for temporal knowledge graph completion
Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker, and Pascal Poupart. 2020 · 2020
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A survey on knowledge graph-based recommender systems
Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, and Qing He. 2020 · 2020
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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 · 2020
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Recurrent event network: Autoregressive structure inference over temporal knowledge graphs
Woojeong Jin, Meng Qu, Xisen Jin, and Xiang Ren. 2020 · 2020
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Tensor decompositions for temporal knowledge base completion
Timothée Lacroix, Guillaume Obozinski, and Nicolas Usunier. 2020 · 2020
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Michael Schlichtkrull, Thomas N Kipf, Peter Bloem, Rianne Van Den Berg, Ivan Titov, and Max Welling. 2018 · 2018
Cited alongside, same era.
Variational reasoning for question answering with knowledge graph
Yuyu Zhang, Hanjun Dai, Zornitsa Kozareva, Alexander Smola, and Le Song. 2018 · 2018
Cited alongside, same era.
Learning to exploit long-term relational dependencies in knowledge graphs
Lingbing Guo, Zequn Sun, and Wei Hu. 2019 · 2019
Cited alongside, same era.
OpenDialKG: Explainable conversational reasoning with attention-based walks over knowledge graphs
Seungwhan Moon, Pararth Shah, Anuj Kumar, and Rajen Subba. 2019 · 2019
Cited alongside, same era.
Learning attention-based embeddings for relation prediction in knowledge graphs
Deepak Nathani, Jatin Chauhan, Charu Sharma, and Manohar Kaul. 2019 · 2019
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Rotate: Knowledge graph embedding by relational rotation in complex space
Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, and Jian Tang. 2019 · 2019
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Explainable link prediction for emerging entities in knowledge graphs
Rajarshi Bhowmik and Gerard de Melo. 2020 · 2020
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Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, and Partha Talukdar. 2020 · 2020
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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 · 2020
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Relational graph neural network with hierarchical attention for knowledge graph completion
Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhiping Shi, Hui Xiong, and Qing He. 2020 · 2020
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Temporal knowledge graph forecasting with neural ode
Zifeng Ding, Zhen Han, Yunpu Ma, and Volker Tresp. 2021 · 2021
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Explainable subgraph reasoning for forecasting on temporal knowledge graphs
Zhen Han, Peng Chen, Yunpu Ma, and Volker Tresp. 2021 · 2021
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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 Zhang. 2021 · 2021
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Complex embeddings for simple link prediction
Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, and Guillaume Bouchard. 2016 · 2080
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