Dynamic graph convolutional networks using the tensor m-product

Keyphrases

• Dynamic Graph 100%
• Dynamic Graph Convolution Network 100%
• Graph Neural Network 50%
• Graph Convolutional Network 50%
• Neural Network Framework 25%
• Popular 25%
• Early Detection 25%
• Numerical Experiments 25%
• Financial Transactions 25%
• Natural Language 25%
• Social Networks 25%
• Real-world Application 25%
• Graph Structure 25%
• Underlying Graph 25%
• Message Passing 25%
• Novel Technique 25%
• Infected Individual 25%
• Language Constructs 25%
• Representation Learning 25%
• Learning Representations 25%
• Irregular Domain 25%
• Prediction Task 25%
• COVID-19 Pandemic 25%
• Tensor Algebra 25%
• Link Prediction 25%
• Contact Tracing Data 25%
• Classification Prediction 25%
• Edge Classification 25%
• Neuron Connections 25%
• Tensor Approach 25%
• Message Passing Neural Network 25%
• Spectral Convolution 25%
• M-product 25%

Computer Science

• Graph Convolutional Network 100%
• Message Passing 66%
• Representation Learning 66%
• Graph Neural Network 66%
• Neural Network 33%
• Social Network 33%
• Early Detection 33%
• Related Application 33%
• World Application 33%
• Link Prediction 33%