MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions.
Nuo XuPinghui WangLong ChenJing TaoJunzhou ZhaoPublished in: CoRR (2019)
Keyphrases
- multiresolution
- neural network
- structured data
- back propagation
- graph representation
- graph model
- directed acyclic graph
- directed graph
- image registration
- wavelet transform
- connected components
- graph theory
- hierarchical representation
- random walk
- graph matching
- multiscale
- subband
- graph structure
- artificial neural networks
- neural network model
- entity identification
- bipartite graph
- medical images
- weighted graph
- graph theoretic
- image fusion
- coarse to fine
- image data
- graph partitioning
- multi layer perceptron
- recurrent neural networks
- structured learning
- neural network is trained
- hierarchical dirichlet processes
- spanning tree
- network architecture
- graph mining
- magnetic resonance
- associative memory
- named entities
- semi supervised
- pattern recognition
- knowledge base