Demo-Net: Degree-specific graph neural networks for node and graph classification

Keyphrases

• Graph Classification 100%
• Node Classification 100%
• Graph Convolutional Network 100%
• Graph Neural Network 100%
• Net-degree 100%
• Graph Structure 60%
• Neural Network Model 40%
• Learning Methods 20%
• Weight Function 20%
• Benchmark Dataset 20%
• Multi-task 20%
• Graph Topology 20%
• Hash Function 20%
• Graph Representation 20%
• Task Graph 20%
• Deep Learning 20%
• Node Level 20%
• Structured Data 20%
• Multi-task Learning 20%
• Node Degree 20%
• Neighborhood Structure 20%
• Data Graph 20%
• Node Attributes 20%
• Node Neighborhood 20%
• Learning on Graphs 20%
• Kernel Space 20%
• Graph Isomorphism Test 20%
• Degree Value 20%
• Network Representation Learning 20%
• Readout Scheme 20%
• Specific Weight 20%
• Weisfeiler-Lehman 20%
• Structure-aware 20%
• Hilbert Kernel 20%
• 1-hop 20%
• Classification Benchmark 20%
• Convolution Property 20%
• Node Graph 20%

Computer Science

• Graph Convolution 100%
• Graph Neural Network 100%
• Neural Network Model 40%
• Representation Learning 20%
• Experimental Result 20%
• Task Graph 20%
• Deep Learning 20%
• Level Representation 20%
• Structured Data 20%
• Multitask Learning 20%
• Topology Graph 20%
• Neighborhood Structure 20%
• Hashing Function 20%
• Convolution Property 20%
• Graph Representation Learning 20%