Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology.
Nima DehmamyAlbert-László BarabásiRose YuPublished in: CoRR (2019)
Keyphrases
- graph representation
- neural network
- graph theory
- random walk
- graph model
- prior knowledge
- directed graph
- connected components
- learning systems
- graph structure
- neural nets
- deeper understanding
- learning tasks
- learning process
- topological information
- reinforcement learning
- learning algorithm
- online learning
- small world
- vector representation
- bipartite graph
- spectral decomposition
- subject matter
- multiple representations
- graph theoretic
- structural learning
- weighted graph
- incremental learning
- graph matching
- fuzzy logic
- active learning
- artificial neural networks
- pattern recognition
- training data
- e learning