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Knowledge graphs, modeling multi-relational data, improve numerous applications such as question answering or graph logical reasoning.
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Inductive representation learning on large graphs
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Semi-supervised classification with graph convolutional networks
T. N. Kipf and M. Welling · 2017
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Geometric deep learning on graphs and manifolds using mixture model cnns
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Descriptive Complexity, Canonisation, and Definable Graph Structure Theory
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Graph attention networks
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Modeling relational data with graph convolutional networks
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Composition-based multi-relational graph convolutional networks
S. Vashishth, S. Sanyal, V. Nitin, and P. P. Talukdar · 2020
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Message passing for hyper-relational knowledge graphs
M. Galkin, P. Trivedi, G. Maheshwari, R. Usbeck, and J. Lehmann · 2020
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Generalized multi-relational graph convolution network
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Inductive relation prediction by subgraph reasoning
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Message passing for query answering over knowledge graphs
D. Daza and M. Cochez · 2020
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Equivariant subgraph aggregation networks
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A survey on knowledge graph embeddings for link prediction
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Expressiveness and approximation properties of graph neural networks
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Endowing language models with multimodal knowledge graph representations
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