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Machine learning over graphs have been emerging as powerful learning tools for graph data.
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Pytorch-biggraph: A large-scale graph embedding system
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Cross-lingual knowledge graph alignment via graph convolutional networks
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Private information, credit risk and graph structure in p2p lending networks
J. C. Westland, T. Q. Phan, and T. Tan · 2018
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Spatial temporal graph convolutional networks for skeleton-based action recognition
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Graph convolutional neural networks for web-scale recommender systems
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Sentence-state lstm for text representation
Y. Zhang, Q. Liu, and L. Song · 2018
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Deep graph library: Towards efficient and scalable deep learning on graphs
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Aligraph: A comprehensive graph neural network platform
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Dsslp: A distributed framework for semi-supervised link prediction
D. Zhang, X. Song, Z. Liu, Z. Zhang, X. Huang, L. Wang, and J. Zhou · 2019
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Inductive graph pattern learning for recommender systems based on a graph neural network
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