On Recoverability of Graph Neural Network Representations.
Maxim FishmanChaim BaskinEvgenii ZheltonozhskiiRon BannerAvi MendelsonPublished in: CoRR (2022)
Keyphrases
- neural network
- artificial neural networks
- graph representation
- pattern recognition
- graph representations
- graph structure
- back propagation
- training algorithm
- vector representation
- graph model
- distributed representations
- neural network model
- fuzzy logic
- bipartite graph
- graph theory
- multilayer perceptron
- graph partitioning
- structured data
- multi layer perceptron
- neural network is trained
- backpropagation neural network
- knn
- dependency graph
- graph construction
- feed forward neural networks
- recurrent neural networks
- spanning tree
- graph mining
- feed forward
- neural nets