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Temporal knowledge graphs (TKGs) inherently reflect the transient nature of real-world knowledge, as opposed to static knowledge graphs.
Diachronic embedding for temporal knowledge graph completion
Goel, R.; Kazemi, S. M.; Brubaker, M.; and Poupart, P. 2019 · 1907
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Hyte: Hyperplane-based temporally aware knowledge graph embedding
Dasgupta, S. S.; Ray, S.; Nath; and Talukdar, P. 2018 · 2011
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GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries
Kang, U.; Papalexakis, E. E.; Harpale, A.; and Faloutsos, C. 2012 · 2012
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Translating embeddings for modeling multi-relational data
Bordes, A.; Usunier, N.; Garcia-Duran, A.; Weston, J.; and Yakhnenko, O. 2013 · 2013
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Large Scale Tensor Decompositions: Algorithmic Developments and Applications
Papalexakis, E. E.; Kang, U.; Faloutsos, C.; Sidiropoulos, N. D.; and Harpale, A. 2013 · 2013
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Knowledge Graph Embedding by Translating on Hyperplanes
Wang, Z.; Zhang, J.; Feng, J.; and Chen, Z. 2014 · 2014
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Embedding entities and relations for learning and inference in knowledge bases
Yang, B.; Yih, W.-t.; He, X.; Gao, J.; and Deng, L. 2014 · 2014
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HaTen2: Billion-scale tensor decompositions
Jeon, I.; Papalexakis, E. E.; Kang, U.; and Faloutsos, C. 2015 · 2015
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Modeling Relation Paths for Representation Learning of Knowledge Bases
Lin, Y.; Liu, Z.; Luan, H.; Sun, M.; Rao, S.; and Liu, S. 2015 · 2015
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Mining billion-scale tensors: algorithms and discoveries
Jeon, I.; Papalexakis, E. E.; Faloutsos, C.; Sael, L.; and Kang, U. 2016 · 2016
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Towards time-aware knowledge graph completion
Jiang, T.; Liu, T.; Ge, T.; Sha, L.; Chang, B.; Li, S.; and Sui, Z. 2016 · 2016
Cited alongside, same era.
Complex embeddings for simple link prediction
Trouillon, T.; Welbl, J.; Riedel, S.; Gaussier, É.; and Bouchard, G. 2016 · 2016
Cited alongside, same era.
Veličković, P.; Cucurull, G.; Casanova, A.; Romero, A.; Lio, P.; and Bengio, Y. 2017 · 2017
Cited alongside, same era.
Structure-aware convolutional neural networks
Chang, J.; Gu, J.; Wang, L.; Meng, G.; Xiang, S.; and Pan, C. 2018 · 2018
Cited alongside, same era.
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
Das, R.; Dhuliawala, S.; Zaheer, M.; Vilnis, L.; Durugkar, I.; Krishnamurthy, A.; Smola, A.; and McCallum, A. 2018 · 2018
Cited alongside, same era.
Variational reasoning for question answering with knowledge graph
Zhang, Y.; Dai, H.; Kozareva, Z.; Smola, A. J.; and Song, L. 2018 · 2018
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Tensor Decompositions for Temporal Knowledge Base Completion
Lacroix, T.; Obozinski, G.; and Usunier, N. 2019 · 2019
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Embedding models for episodic knowledge graphs
Ma, Y.; Tresp; Volker; and Daxberger, E. A. 2019 · 2019
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Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
Nathani, D.; Chauhan, J.; Sharma, C.; and Kaul, M. 2019 · 2019
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Explainable reasoning over knowledge graphs for recommendation
Wang, X.; Wang, D.; Xu, C.; He, X.; Cao, Y.; and Chua, T.-S. 2019 · 2019
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Dynamically Pruned Message Passing Networks for Large-scale Knowledge Graph Reasoning
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Dettmers, T.; Minervini, P.; Stenetorp, P.; and Riedel, S. 2018 · 2018
Cited alongside, same era.
Learning Sequence Encoders for Temporal Knowledge Graph Completion
García-Durán, A.; Dumančić, S.; and Niepert, M. 2018 · 2018
Cited alongside, same era.
Multi-Hop Knowledge Graph Reasoning with Reward Shaping
Lin, X. V.; Socher, R.; and Xiong, C. 2018 · 2018
Cited alongside, same era.
Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval
Liu, Z.; Xiong, C.; Sun, M.; and Liu, Z. 2018 · 2018
Cited alongside, same era.
Modeling Attention Flow on Graphs
Xu, X.; Zu, S.; Gao, C.; Zhang, Y.; and Feng, W. 2018 · 2018
Cited alongside, same era.
Xu, X.; Feng, W.; Jiang, Y.; Xie, X.; Sun, Z.; and Deng, Z.-H. 2019 · 2019
Later among the works it cites.
Graph Hawkes Neural Network for Future Prediction on Temporal Knowledge Graphs
Han, Z.; Wang, Y.; Ma, Y.; Günnemann, S.; and Tresp, V. 2020 · 2020
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EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
Pareja, A.; Domeniconi, G.; Chen, J.; Ma, T.; Suzumura, T.; Kanezashi, H.; Kaler, T.; Schardl, T. B.; and Leiserson, C. E. 2020 · 2020
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Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion
Zhang, Z.; Zhuang, F.; Zhu, H.; Shi, Z.-P.; Xiong, H.; and He, Q. 2020 · 2020
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