Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings.
Yu ChenLingfei WuMohammed J. ZakiPublished in: NeurIPS (2020)
Keyphrases
- neural network
- graph structure
- directed graph
- graph representation
- graph theory
- learning process
- fully connected
- learning systems
- connected components
- machine learning
- deep architectures
- artificial neural networks
- finding the shortest path
- connectionist systems
- graph model
- random walk
- reinforcement learning
- decision trees
- genetic algorithm
- learning tasks
- neural nets
- bipartite graph
- unsupervised learning
- weighted graph
- directed acyclic graph
- distance measure
- learning rules
- fuzzy logic
- path length
- random graphs
- active learning