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Knowledge graph completion (KGC) aims to predict the missing links among knowledge graph (KG) entities.
Time2vec: Learning a vector representation of time
Seyed Mehran Kazemi, Rishab Goel, Sepehr Eghbali, Janahan Ramanan, Jaspreet Sahota, Sanjay Thakur, Stella Wu, Cathal Smyth, Pascal Poupart, and Marcus A. Brubaker · 1907
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Graph hawkes neural network for forecasting on temporal knowledge graphs
Zhen Han, Yunpu Ma, Yuyi Wang, Stephan Günnemann, and Volker Tresp · 2003
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Visualizing data using t-sne
Laurens Van der Maaten and Geoffrey Hinton · 2008
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Dyernie: Dynamic evolution of riemannian manifold embeddings for temporal knowledge graph completion
Zhen Han, Yunpu Ma, Peng Chen, and Volker Tresp · 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
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Translating embeddings for modeling multi-relational data
Antoine Bordes, Nicolas Usunier, Alberto García-Durán, Jason Weston, and Oksana Yakhnenko · 2013
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Distant supervision for relation extraction with an incomplete knowledge base
Bonan Min, Ralph Grishman, Li Wan, Chang Wang, and David Gondek · 2013
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Learning phrase representations using RNN encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart van Merrienboer, Çaglar Gülçehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
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ICEWS Coded Event Data, 2015
Elizabeth Boschee, Jennifer Lautenschlager, Sean O’Brien, Steve Shellman, James Starz, and Michael Ward · 2015
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Learning with memory embeddings
Volker Tresp, Cristóbal Esteban, Yinchong Yang, Stephan Baier, and Denis Krompaß · 2015
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Complex embeddings for simple link prediction
Théo Trouillon, Johannes Welbl, Sebastian Riedel, Éric Gaussier, and Guillaume Bouchard · 2016
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Representation learning of knowledge graphs with entity descriptions
Ruobing Xie, Zhiyuan Liu, Jia Jia, Huanbo Luan, and Maosong Sun · 2016
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Knowledge transfer for out-of-knowledge-base entities : A graph neural network approach
Takuo Hamaguchi, Hidekazu Oiwa, Masashi Shimbo, and Yuji Matsumoto · 2017
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Neural ordinary differential equations
Tian Qi Chen, Yulia Rubanova, Jesse Bettencourt, and David Duvenaud · 2018
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Deriving validity time in knowledge graph
Julien Leblay and Melisachew Wudage Chekol · 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
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Open-world knowledge graph completion
Baoxu Shi and Tim Weninger · 2018
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One-shot relational learning for knowledge graphs
Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, and William Yang Wang · 2018
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Meta relational learning for few-shot link prediction in knowledge graphs
Mingyang Chen, Wen Zhang, Wei Zhang, Qiang Chen, and Huajun Chen · 2019
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Embedding models for episodic knowledge graphs
Yunpu Ma, Volker Tresp, and Erik A. Daxberger · 2019
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Rotate: Knowledge graph embedding by relational rotation in complex space
Composition-based multi-relational graph convolutional networks
Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, and Partha P. Talukdar · 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
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Tero: A time-aware knowledge graph embedding via temporal rotation
Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury, Hamed Shariat Yazdi, and Jens Lehmann · 2020
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Inductive representation learning on temporal graphs
Da Xu, Chuanwei Ruan, Evren Körpeoglu, Sushant Kumar, and Kannan Achan · 2020
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A simple but powerful graph encoder for temporal knowledge graph completion
Zifeng Ding, Yunpu Ma, Bailan He, and Volker Tresp · 2021
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Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, and Jian Tang · 2019
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Knowledge graph convolutional networks for recommender systems
Hongwei Wang, Miao Zhao, Xing Xie, Wenjie Li, and Minyi Guo · 2019
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Logic attention based neighborhood aggregation for inductive knowledge graph embedding
Peifeng Wang, Jialong Han, Chenliang Li, and Rong Pan · 2019
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Explainable reasoning over knowledge graphs for recommendation
Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, and Tat-Seng Chua · 2019
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Tackling long-tailed relations and uncommon entities in knowledge graph completion
Zihao Wang, Kwun Ping Lai, Piji Li, Lidong Bing, and Wai Lam · 2019
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Learning to extrapolate knowledge: Transductive few-shot out-of-graph link prediction
Jinheon Baek, Dong Bok Lee, and Sung Ju Hwang · 2020
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VN network: Embedding newly emerging entities with virtual neighbors
Yongquan He, Zhihan Wang, Peng Zhang, Zhaopeng Tu, and Zhaochun Ren · 2020
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Bique: Biquaternionic embeddings of knowledge graphs
Jia Guo and Stanley Kok · 2021
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Explainable subgraph reasoning for forecasting on temporal knowledge graphs
Zhen Han, Peng Chen, Yunpu Ma, and Volker Tresp · 2021
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Learning neural ordinary equations for forecasting future links on temporal knowledge graphs
Zhen Han, Zifeng Ding, Yunpu Ma, Yujia Gu, and Volker Tresp · 2021
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Time-dependent entity embedding is not all you need: A re-evaluation of temporal knowledge graph completion models under a unified framework
Zhen Han, Gengyuan Zhang, Yunpu Ma, and Volker Tresp · 2021
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Learning to walk across time for interpretable temporal knowledge graph completion
Jaehun Jung, Jinhong Jung, and U Kang · 2021
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One-shot learning for temporal knowledge graphs
Mehrnoosh Mirtaheri, Mohammad Rostami, Xiang Ren, Fred Morstatter, and Aram Galstyan · 2021
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Chronor: Rotation based temporal knowledge graph embedding
Ali Sadeghian, Mohammadreza Armandpour, Anthony Colas, and Daisy Zhe Wang · 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
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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
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Knowledge embedding based graph convolutional network
Donghan Yu, Yiming Yang, Ruohong Zhang, and Yuexin Wu · 2021
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Meta-learning based hyper-relation feature modeling for out-of-knowledge-base embedding
Yufeng Zhang, Weiqing Wang, Wei Chen, Jiajie Xu, An Liu, and Lei Zhao · 2021
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