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Temporal knowledge graph (TKG) reasoning has two settings: interpolation reasoning and extrapolation reasoning.
Logic rules powered knowledge graph embedding
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Temporal knowledge graph embedding model based on additive time series decomposition
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Approximation capabilities of multilayer feedforward networks
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Problog: A probabilistic prolog and its application in link discovery
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Freebase: a collaboratively created graph database for structuring human knowledge
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Path Problems in Networks
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A spectral analysis of world gdp dynamics: Kondratieff waves, kuznets swings, juglar and kitchin cycles in global economic development, and the 2008c2009 economic crisis
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Relational retrieval using a combination of path-constrained random walks
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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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Reading the web with learned syntactic-semantic inference rules
Ni Lao, Amarnag Subramanya, Fernando C. N. Pereira, and William W. Cohen. 2012 · 2012
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Translating embeddings for modeling multi-relational data
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Fredo Erxleben, Michael Günther, Markus Krötzsch, Julian Mendez, and Denny Vrandecic. 2014 · 2014
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Knowledge graph embedding by translating on hyperplanes
Zhen Wang, Jianwen Zhang, Jianlin Feng, and Zheng Chen. 2014 · 2014
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Visualizing and understanding convolutional networks
Matthew D. Zeiler and Rob Fergus. 2014 · 2014
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Icews events and aggregations
Jennifer Lautenschlager, Steve Shellman, and Michael Ward. 2015 · 2015
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Learning entity and relation embeddings for knowledge graph completion
Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, and Xuan Zhu. 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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Compositional vector space models for knowledge base inference
Arvind Neelakantan, Benjamin Roth, and Andrew McCallum. 2015 · 2015
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Embedding entities and relations for learning and inference in knowledge bases
Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. 2015 · 2015
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Jointly embedding knowledge graphs and logical rules
Shu Guo, Quan Wang, Lihong Wang, Bin Wang, and Li Guo. 2016 · 2016
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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
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Knowledge graph embedding with iterative guidance from soft rules
Shu Guo, Quan Wang, Lihong Wang, Bin Wang, and Li Guo. 2018 · 2018
Learning neural ordinary equations for forecasting future links on temporal knowledge graphs
Zhen Han, Zifeng Ding, Yunpu Ma, Yujia Gu, and Volker Tresp. 2021b · 2021
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Learning to walk across time for interpretable temporal knowledge graph completion
Jaehun Jung, Jinhong Jung, and U Kang. 2021 · 2021
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Temporal knowledge 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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A novel encoder-decoder knowledge graph completion model for robot brain
Yichen Song, Aiping Li, Hongkui Tu, Kai Chen, and Chenchen Li. 2021 · 2021
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Timetraveler: Reinforcement learning for temporal knowledge graph forecasting
Haohai Sun, Jialun Zhong, Yunpu Ma, Zhen Han, and Kun He. 2021 · 2021
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Canonical tensor decomposition for knowledge base completion
Timothée Lacroix, Nicolas Usunier, and Guillaume Obozinski. 2018 · 2018
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Deriving validity time in knowledge graph
Julien Leblay and Melisachew Wudage Chekol. 2018 · 2018
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Modeling relational data with graph convolutional networks
Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling. 2018 · 2018
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Graph attention networks
Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio. 2018 · 2018
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Probabilistic logic neural networks for reasoning
Meng Qu and Jian Tang. 2019 · 2019
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End-to-end structure-aware convolutional networks for knowledge base completion
Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, and Bowen Zhou. 2019 · 2019
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Temporal knowledge graph completion using a linear temporal regularizer and multivector embeddings
Chengjin Xu, Yung-Yu Chen, Mojtaba Nayyeri, and Jens Lehmann. 2021 · 2021
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Neural, symbolic and neural-symbolic reasoning on knowledge graphs
Jing Zhang, Bo Chen, Lingxi Zhang, Xirui Ke, and Haipeng Ding. 2021 · 2021
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Target relational attention-oriented knowledge graph reasoning
Xiaojuan Zhao, Yan Jia, Aiping Li, Rong Jiang, Kai Chen, and Ye Wang. 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. 2021a · 2021
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Neural bellman-ford networks: A general graph neural network framework for link prediction
Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal A. C. Xhonneux, and Jian Tang. 2021b · 2021
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Rotateqvs: Representing temporal information as rotations in quaternion vector space for temporal knowledge graph completion
Kai Chen, Ye Wang, Yitong Li, and Aiping Li. 2022 · 2022
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Tirgn: Time-guided recurrent graph network with local-global historical patterns for temporal knowledge graph reasoning
Yujia Li, Shiliang Sun, and Jing Zhao. 2022a · 2022
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Complex evolutional pattern learning for temporal knowledge graph reasoning
Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu, Yong Zhu, Long Bai, Wei Li, Jiafeng Guo, and Xueqi Cheng. 2022b · 2022
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Tlogic: Temporal logical rules for explainable link forecasting on temporal knowledge graphs
Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, and Volker Tresp. 2022 · 2022
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Causal attention for interpretable and generalizable graph classification
Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, and Tat-Seng Chua. 2022 · 2022
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Knowledge graph reasoning with relational digraph
Yongqi Zhang and Quanming Yao. 2022 · 2022
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Learn from relational correlations and periodic events for temporal knowledge graph reasoning
Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, and Xinwang Liu. 2023 · 2023
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Geometric algebra based embeddings for static and temporal knowledge graph completion
Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen, and Jens Lehmann. 2023 · 2023
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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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