About: covid:PMC7206266

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An Entity of Type : owl:Thing, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
Creator	Li, Jiayu Wong, Raymond Fardad, Makan Jin, Shengmin Tian, Hao Zafarani, Reza Zhang, Tianyun Lim, Ee-Peng Lauw, Hady Ng, See-Kiong Ntoulas, Alexandros Pan, Sinno
is schema:about of	named entity 'matrix multiplication' named entity 'neural network' named entity 'differentiable' named entity 'random walk' named entity 'computational cost' named entity 'adjacency matrices' named entity 'GCN' named entity 'augmented Lagrangian' named entity 'GCN' named entity 'decision trees' named entity 'adjacency matrix' named entity 'sparse graph' named entity 'subgraphs' named entity 'time complexity' named entity 'citation network' named entity 'vector' named entity 'adjacency matrix' named entity 'adjacency matrices' named entity 'GCN' named entity 'adjacency matrix' named entity 'convolutional neural networks' named entity 'pseudo-code' named entity 'Convolutional Network' named entity 'Algorithm' named entity 'differentiable' named entity 'convolutional network' named entity 'GCN' named entity 'learning rate' named entity 'Lagrangian multiplier' named entity 'adjacency matrix' named entity 'random walk' named entity 'sparse matrix' named entity 'self-loops' named entity 'spectral properties' named entity 'adjacency matrix' named entity 'loss function' named entity 'GCN' named entity 'convolutional networks' named entity 'message passing' named entity 'validation set' named entity 'adjacency matrices' named entity 'GCN' named entity 'GCN' named entity 'softmax' named entity 'adjacency matrix' named entity 'graph Laplacian' named entity 'multiclass classification' named entity 'semi-supervised' named entity 'adjacency matrix' named entity 'CiteSeer' named entity 'subgraphs' named entity 'Alternating Direction Method of Multipliers' named entity 'cross validation' named entity 'GCN' named entity 'time complexity' named entity 'neural network' named entity 'storage and computational cost' named entity 'vectors' named entity 'subgraph' named entity 'Frobenius norm' named entity 'differentiable' named entity 'loss function' named entity 'subgraphs' named entity 'sparse graph' named entity 'indicator function' named entity 'adjacency matrix' named entity 'subgraphs' named entity 'adjacency matrix' named entity 'adjacency matrix' named entity 'Alternating Direction Method of Multipliers' named entity 'GCN' named entity 'neural network' named entity 'computational cost' named entity 'adjacency matrix' named entity 'dense graph' named entity 'neural network' named entity 'GCN' named entity 'subgraphs' named entity 'Neural Networks' named entity 'subgraphs' named entity 'GCN' named entity 'adjacency matrix' named entity 'signal processing' named entity 'neural networks' named entity 'adjacency matrix' named entity 'stationary distribution' named entity 'augmented Lagrangian' named entity 'social media'

Attributes

Values

Creator

Li, Jiayu
Wong, Raymond
Fardad, Makan
Jin, Shengmin
Tian, Hao
Zafarani, Reza
Zhang, Tianyun
Lim, Ee-Peng
Lauw, Hady
Ng, See-Kiong
Ntoulas, Alexandros
Pan, Sinno

is schema:about of

named entity 'matrix multiplication'
named entity 'neural network'
named entity 'differentiable'
named entity 'random walk'
named entity 'computational cost'
named entity 'adjacency matrices'
named entity 'GCN'
named entity 'augmented Lagrangian'
named entity 'GCN'
named entity 'decision trees'
named entity 'adjacency matrix'
named entity 'sparse graph'
named entity 'subgraphs'
named entity 'time complexity'
named entity 'citation network'
named entity 'vector'
named entity 'adjacency matrix'
named entity 'adjacency matrices'
named entity 'GCN'
named entity 'adjacency matrix'
named entity 'convolutional neural networks'
named entity 'pseudo-code'
named entity 'Convolutional Network'
named entity 'Algorithm'
named entity 'differentiable'
named entity 'convolutional network'
named entity 'GCN'
named entity 'learning rate'
named entity 'Lagrangian multiplier'
named entity 'adjacency matrix'
named entity 'random walk'
named entity 'sparse matrix'
named entity 'self-loops'
named entity 'spectral properties'
named entity 'adjacency matrix'
named entity 'loss function'
named entity 'GCN'
named entity 'convolutional networks'
named entity 'message passing'
named entity 'validation set'
named entity 'adjacency matrices'
named entity 'GCN'
named entity 'GCN'
named entity 'softmax'
named entity 'adjacency matrix'
named entity 'graph Laplacian'
named entity 'multiclass classification'
named entity 'semi-supervised'
named entity 'adjacency matrix'
named entity 'CiteSeer'
named entity 'subgraphs'
named entity 'Alternating Direction Method of Multipliers'
named entity 'cross validation'
named entity 'GCN'
named entity 'time complexity'
named entity 'neural network'
named entity 'storage and computational cost'
named entity 'vectors'
named entity 'subgraph'
named entity 'Frobenius norm'
named entity 'differentiable'
named entity 'loss function'
named entity 'subgraphs'
named entity 'sparse graph'
named entity 'indicator function'
named entity 'adjacency matrix'
named entity 'subgraphs'
named entity 'adjacency matrix'
named entity 'adjacency matrix'
named entity 'Alternating Direction Method of Multipliers'
named entity 'GCN'
named entity 'neural network'
named entity 'computational cost'
named entity 'adjacency matrix'
named entity 'dense graph'
named entity 'neural network'
named entity 'GCN'
named entity 'subgraphs'
named entity 'Neural Networks'
named entity 'subgraphs'
named entity 'GCN'
named entity 'adjacency matrix'
named entity 'signal processing'
named entity 'neural networks'
named entity 'adjacency matrix'
named entity 'stationary distribution'
named entity 'augmented Lagrangian'
named entity 'social media'

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