Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings.
Yu ChenLingfei WuMohammed J. ZakiPublished in: CoRR (2020)
Keyphrases
- neural network
- graph structure
- directed graph
- learning algorithm
- bipartite graph
- learning process
- graph representation
- graph model
- graph theory
- graph matching
- connected components
- genetic algorithm
- learning systems
- tree structure
- structured data
- fully connected
- neural network model
- graph theoretic
- pattern recognition
- graph partitioning
- undirected graph
- spanning tree
- strongly connected
- small world
- feedforward neural networks
- prior knowledge
- probabilistic model
- online learning
- euclidean space
- random walk
- shortest path
- back propagation
- vector space