Learning node representations against perturbations

Author:

Chen XuORCID,Pan Yuangang,Tsang IvorORCID,Zhang Ya

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference40 articles.

1. DeepWalk: Online learning of social representations;Perozzi,2014

2. Node2vec: Scalable feature learning for networks;Grover,2016

3. M. Gori, G. Monfardini, F. Scarselli, A new model for learning in graph domains, in: Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005, Vol. 2, 2005, pp. 729–734.

4. Convolutional neural networks on graphs with fast localized spectral filtering;Defferrard,2016

5. T.N. Kipf, M. Welling, Semi-Supervised Classification with Graph Convolutional Networks, in: International Conference on Learning Representations, ICLR, 2017.

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