Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks.
Kun XuLingfei WuZhiguo WangYansong FengVadim SheininPublished in: CoRR (2018)
Keyphrases
- neural network
- graph representation
- graph model
- fully connected
- learning algorithm
- learning process
- graph mining
- weighted graph
- graph theory
- knowledge acquisition
- spanning tree
- structured data
- learning systems
- random walk
- active learning
- pattern recognition
- learning rules
- graph matching
- learning tasks
- directed graph
- online learning
- supervised learning
- graph theoretic
- graph based algorithm
- feedforward neural networks
- connected components
- neural nets
- hidden markov models
- decision trees
- genetic algorithm
- machine learning