Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning.
Zhijiang GuoYan ZhangZhiyang TengWei LuPublished in: CoRR (2019)
Keyphrases
- densely connected
- fully connected
- weighted graph
- sparsely connected
- random walk
- graph structure
- reinforcement learning
- connected components
- graph theory
- learning algorithm
- active learning
- graph mining
- community structure
- bipartite graph
- social networks
- graph partitioning
- directed graph
- network analysis
- graph model
- web graph
- edge weights
- deep learning
- data structure
- overlapping communities
- gray scale
- collaborative filtering