Node Embedding

1.Kipf, Thomas N., and Max Welling. "Semi-supervised classification with graph convolutional networks." arXiv preprint arXiv:1609.02907 (2016).

 

2.Defferrard, Michaël, Xavier Bresson, and Pierre Vandergheynst. "Convolutional neural networks on graphs with fast localized spectral filtering." Advances in Neural Information Processing Systems. 2016.

 

3.Embedding Knowledge Graphs Based on Transitivity and Antisymmetry of Rules

 这篇文章提出Restricted Triple Model(RTM)对知识图谱中的节点和边进行embedding，它的模型能够利用节点之间的逻辑关系，使得embedding效果更好。用了复数的表示，采用梯度下降进行学习。考虑到了逻辑的传递性和非对称性。