Learning Representations for Hyper-Relational Knowledge Graphs

Coke: Contextualized knowledge graph embedding

Original

Quan Wang, Pingping Huang, Haifeng Wang, Songtai Dai, Wenbin Jiang, Jing Liu, Yajuan Lyu, Yong Zhu, and Hua Wu. 2019a · 1911

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Translating embeddings for modeling multi-relational data

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Adam: A method for stochastic optimization

Original

Diederik P Kingma and Jimmy Ba. 2014 · 2014

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Layer normalization

Original

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On the representation and embedding of knowledge bases beyond binary relations

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Attention is all you need

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Convolutional 2d knowledge graph embeddings

Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, and Sebastian Riedel. 2018 · 2018

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Modeling relational data with graph convolutional networks

Michael Schlichtkrull, Thomas N Kipf, Peter Bloem, Rianne Van Den Berg, Ivan Titov, and Max Welling. 2018 · 2018

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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. 2018 · 2018

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Fast graph representation learning with PyTorch Geometric

Matthias Fey and Jan E. Lenssen. 2019 · 2019

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Link prediction on n-ary relational data

Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, and Xueqi Cheng. 2019 · 2019

Scalable instance reconstruction in knowledge bases via relatedness affiliated embedding

Richong Zhang, Junpeng Li, Jiajie Mei, and Yongyi Mao. 2018 · 2019

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Message passing for hyper-relational knowledge graphs

Mikhail Galkin, Priyansh Trivedi, Gaurav Maheshwari, Ricardo Usbeck, and Jens Lehmann. 2020 · 2020

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K-BERT: Enabling language representation with knowledge graph

Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, and Ping Wang. 2020 · 2020

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Beyond triplets: hyper-relational knowledge graph embedding for link prediction

Paolo Rosso, Dingqi Yang, and Philippe Cudré-Mauroux. 2020 · 2020

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A survey on knowledge graphs: Representation, acquisition, and applications

Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, and S Yu Philip. 2021 · 2021

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