A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact.
Fan ZhouXovee XuCe LiGoce TrajcevskiTing ZhongKunpeng ZhangPublished in: CoRR (2020)
Keyphrases
- neural network
- graph theory
- graph representation
- random walk
- fuzzy logic
- back propagation
- directed graph
- weighted graph
- graph structure
- pattern recognition
- artificial neural networks
- neural network model
- neural nets
- graph partitioning
- graph mining
- multi layer
- recurrent neural networks
- self organizing maps
- genetic algorithm
- bipartite graph
- databases
- connected components
- scientific data
- graphical models
- heterogeneous networks
- graph structures