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We study the problem of knowledge graph (KG) embedding.
Long short-term memory
Hochreiter, S. and Schmidhuber, J · 1997
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Sampling from large graphs
Leskovec, J. and Faloutsos, C · 2006
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Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
Gutmann, M. and Hyvärinen, A · 2010
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Random walk inference and learning in a large scale knowledge base
Lao, N., Mitchell, T., and Cohen, W. W · 2011
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PARIS: Probabilistic alignment of relations, instances, and schema
Suchanek, F. M., Abiteboul, S., and Senellart, P · 2012
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Translating embeddings for modeling multi-relational data
Bordes, A., Usunier, N., Garcia-Durán, A., Weston, J., and Yakhnenko, O · 2013
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SIGMa: Simple greedy matching for aligning large knowledge bases
Lacoste-Julien, S., Palla, K., Davies, A., Kasneci, G., Graepel, T., and Ghahramani, Z · 2013
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Linguistic regularities in continuous space word representations
Mikolov, T., Yih, W., and Zweig, G · 2013
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DeepWalk: Online learning of social representations
Perozzi, B., Al-Rfou, R., and Skiena, S · 2014
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Dropout: A simple way to prevent neural networks from overfitting
Srivastava, N., Hinton, G. E., Krizhevsky, A., Sutskever, I., and Salakhutdinov, R · 2014
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Knowledge graph embedding by translating on hyperplanes
Wang, Z., Zhang, J., Feng, J., and Chen, Z · 2014
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Traversing knowledge graphs in vector space
Guu, K., Miller, J., and Liang, P · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Ioffe, S. and Szegedy, C · 2015
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Knowledge graph embedding via dynamic mapping matrix
Ji, G., He, S., Xu, L., Liu, K., and Zhao, J · 2015
Cited alongside, same era.
Adam: A method for stochastic optimization
Kingma, D. P. and Ba, J · 2015
Cited alongside, same era.
Observed versus latent features for knowledge base and text inference
Toutanova, K. and Chen, D · 2015
Cited alongside, same era.
Embedding entities and relations for learning and inference in knowledge bases
Yang, B., Yih, W., He, X., Gao, J., and Deng, L · 2015
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Discriminative embeddings of latent variable models for structured data
Dai, H., Dai, B., and Song, L · 2016
Cited alongside, same era.
node2vec: Scalable feature learning for networks
Grover, A. and Leskovec, J · 2016
Cited alongside, same era.
ProjE: Embedding projection for knowledge graph completion
Shi, B. and Weninger, T · 2017
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Cross-lingual entity alignment via joint attribute-preserving embedding
Sun, Z., Hu, W., and Li, C · 2017
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Knowledge graph embedding: A survey of approaches and applications
Wang, Q., Mao, Z., Wang, B., and Guo, L · 2017
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Differentiable learning of logical rules for knowledge base reasoning
Yang, F., Yang, Z., and Cohen, W. W · 2017
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Iterative entity alignment via joint knowledge embeddings
Zhu, H., Xie, R., Liu, Z., and Sun, M · 2017
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Hike: A hybrid human-machine method for entity alignment in large-scale knowledge bases
Zhuang, Y., Li, G., Zhong, Z., and Feng, J · 2017
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Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., and Sun, J · 2016
Cited alongside, same era.
Holographic embeddings of knowledge graphs
Nickel, M., Rosasco, L., and Poggio, T. A · 2016
Cited alongside, same era.
Complex embeddings for simple link prediction
Trouillon, T., Welbl, J., Riedel, S., Éric Gaussier, and Bouchard, G · 2016
Cited alongside, same era.
Recurrent residual learning for sequence classification
Wang, Y. and Tian, F · 2016
Cited alongside, same era.
Multilingual knowledge graph embeddings for cross-lingual knowledge alignment
Chen, M., Tian, Y., Yang, M., and Zaniolo, C · 2017
Cited alongside, same era.
Knowledge verification for long-tail verticals
Li, F., Dong, X. L., Langen, A., and Li, Y · 2017
Cited alongside, same era.
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Co-training embeddings of knowledge graphs and entity descriptions for cross-lingual entity alignment
Chen, M., Tian, Y., Chang, K.-W., Skiena, S., and Zaniolo, C · 2018
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Learning steady-states of iterative algorithms over graphs
Dai, H., Kozareva, Z., Dai, B., Smola, A., and Song, L · 2018
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Convolutional 2D knowledge graph embeddings
Dettmers, T., Minervini, P., Stenetorp, P., and Riedel, S · 2018
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Bootstrapping entity alignment with knowledge graph embedding
Sun, Z., Hu, W., Zhang, Q., and Qu, Y · 2018
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Cross-lingual knowledge graph alignment via graph convolutional networks
Wang, Z., Lv, Q., Lan, X., and Zhang, Y · 2018
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Representation learning on graphs with jumping knowledge networks
Xu, K., Li, C., Tian, Y., Sonobe, T., Kawarabayashi, K.-i., and Jegelka, S · 2018
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RotatE: Knowledge graph embedding by relational rotation in complex space
Sun, Z., Deng, Z.-H., Nie, J.-Y., and Tang, J · 2019
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