1 T. N. Kipf, "Variational graph auto-encoders" 2016
2 F. Scarselli, "The graph neural network model" 20 (20): 61-80, 2018
3 D. Wang, "Structural deep network embedding" 1225-1234, 2016
4 J. Bruna, "Spectral networks and locally connected networks on graphs"
5 S. Bhagat, "Social Network Data Analytics" 115-148, 2011
6 T. N. Kipf, "Semi-supervised classification with graph convolutional networks" 2017
7 M. Schlichtkrull, "Modeling relational data with graph convolutional networks" 593-607, 2018
8 M. Zhang, "Link prediction based on graph neural networks" 5165-5175, 2018
9 W. Hamilton, "Inductive representation learning on large graphs" 1024-1034, 2017
10 I. Chami, "Hyperbolic graph convolutional neural networks" 4868-4879, 2019
1 T. N. Kipf, "Variational graph auto-encoders" 2016
2 F. Scarselli, "The graph neural network model" 20 (20): 61-80, 2018
3 D. Wang, "Structural deep network embedding" 1225-1234, 2016
4 J. Bruna, "Spectral networks and locally connected networks on graphs"
5 S. Bhagat, "Social Network Data Analytics" 115-148, 2011
6 T. N. Kipf, "Semi-supervised classification with graph convolutional networks" 2017
7 M. Schlichtkrull, "Modeling relational data with graph convolutional networks" 593-607, 2018
8 M. Zhang, "Link prediction based on graph neural networks" 5165-5175, 2018
9 W. Hamilton, "Inductive representation learning on large graphs" 1024-1034, 2017
10 I. Chami, "Hyperbolic graph convolutional neural networks" 4868-4879, 2019
11 X. Wang, "Heterogeneous graph attention network" 2022-2032, 2019
12 B. Xu, "Graph wavelet neural network" 2019
13 S. Yun, "Graph transformer networks" 2019
14 R. Ying, "Graph convolutional neural networks for web-scale recommender systems" 974-983, 2018
15 R. van den Berg, "Graph convolutional matrix completion"
16 P. Veličković, "Graph attention networks" 2018
17 F. Monti, "Geometric matrix completion with recurrent multigraph neural networks" 3697-3707, 2017
18 J. Chen, "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling" 2018
19 T. Lei, "Deriving neural architectures from sequence and graph kernels" 70 : 2024-2033, 2017
20 M. Henaff, "Deep convolutional networks on graph-structured data"
21 M. Defferrard, "Convolutional neural networks on graphs with fast localized spectral filtering" 3844-3852, 2016
22 P. Y. Simard, "Best practices for convolutional neural networks applied to visual document analysis" 3 (3): 2003
23 D. Kingma, "Adam: A method for stochastic optimization" 2018