Graph-to-Sequence Learning using Gated Graph Neural Networks.
Daniel BeckGholamreza HaffariTrevor CohnPublished in: ACL (1) (2018)
Keyphrases
- neural network
- graph theory
- learning process
- neural nets
- learning tasks
- directed graph
- learning systems
- structured data
- learning algorithm
- graph representation
- graph partitioning
- graph model
- pattern recognition
- unsupervised learning
- prior knowledge
- fully connected
- connected components
- knowledge acquisition
- graph matching
- incremental learning
- online learning
- fuzzy logic
- graph structure
- hidden markov models
- graph theoretic
- structural learning