Graph-to-Sequence Learning using Gated Graph Neural Networks.
Daniel BeckGholamreza HaffariTrevor CohnPublished in: CoRR (2018)
Keyphrases
- neural network
- graph model
- learning algorithm
- graph representation
- online learning
- directed graph
- weighted graph
- active learning
- learning systems
- artificial neural networks
- learning process
- random walk
- graph theoretic
- graph structure
- graph mining
- directed acyclic graph
- inductive inference
- incremental learning
- learning tasks
- prior knowledge
- equivalence classes
- graph based algorithm
- learning rules
- neural nets
- graph partitioning
- graph databases
- bipartite graph
- connected components
- knowledge acquisition
- machine learning