Learnt Sparsification for Interpretable Graph Neural Networks.
Mandeep RatheeZijian ZhangThorben FunkeMegha KhoslaAvishek AnandPublished in: CoRR (2021)
Keyphrases
- neural network
- pattern recognition
- graph representation
- graph theory
- graph theoretic
- random walk
- artificial neural networks
- stable set
- graph model
- graph structure
- bipartite graph
- directed graph
- structured data
- self organizing maps
- graph based algorithm
- neural nets
- back propagation
- least squares
- weighted graph
- multi layer
- graph partitioning
- fuzzy logic
- data sets
- graph search
- data mining
- genetic algorithm
- undirected graph
- graph mining
- recurrent neural networks
- multilayer perceptron
- graph matching
- feed forward
- neural network model