Reward Propagation Using Graph Convolutional Networks.
Martin KlissarovDoina PrecupPublished in: CoRR (2020)
Keyphrases
- dynamic networks
- network structure
- average degree
- fully connected
- information propagation
- graph theoretic
- highly connected
- graph representation
- graph theory
- reinforcement learning
- citation networks
- graph structure
- directed graph
- complex networks
- random walk
- community discovery
- edge weights
- real world graphs
- long run
- structured data
- graph mining
- directed acyclic graph
- weighted graph
- directed edges
- graph layout
- connected components
- social graphs
- sparse coding
- overlapping communities
- bipartite graph
- degree distribution
- structural patterns
- clustering coefficient
- network size
- graph model
- small world
- heterogeneous networks
- power law
- network architecture