MGNN: Graph Neural Networks Inspired by Distance Geometry Problem.
Guanyu CuiZhewei WeiPublished in: KDD (2023)
Keyphrases
- neural network
- pattern recognition
- directed graph
- random walk
- structured data
- graph theory
- graph structure
- fault diagnosis
- graph representation
- feed forward
- distance matrix
- dependency graph
- neural nets
- topological information
- spanning tree
- graph matching
- bipartite graph
- neural network model
- back propagation
- distance measure
- artificial neural networks
- recurrent neural networks
- connected components
- distance metric
- euclidean distance
- multi layer
- distance function
- geodesic distance
- graph theoretic
- edge weights
- graph construction
- three dimensional