Structured Citation Trend Prediction Using Graph Neural Networks.
Daniel CummingsMarcel NassarPublished in: CoRR (2021)
Keyphrases
- neural network
- structured data
- prediction model
- prediction accuracy
- artificial neural networks to predict
- pattern recognition
- neural network ensemble
- neural network model
- directed graph
- graph theory
- protein function prediction
- information extraction
- back propagation
- random walk
- multilayer perceptron
- neural networks and support vector machines
- neural nets
- multi layer perceptron
- prediction error
- directed acyclic graph
- citation networks
- prediction algorithm
- predictive model
- genetic algorithm
- radial basis function neural network
- artificial neural networks
- grey model
- connected components
- graph representation
- graph databases
- graph structure
- fuzzy logic
- bipartite graph
- recurrent neural networks
- graph partitioning
- hopfield neural network
- graph model
- graph based algorithm
- text mining