Graph Policy Network for Transferable Active Learning on Graphs.
Shengding HuZheng XiongMeng QuXingdi YuanMarc-Alexandre CôtéZhiyuan LiuJian TangPublished in: CoRR (2020)
Keyphrases
- active learning
- random graphs
- dynamic networks
- graph representation
- spanning tree
- graph theory
- highly connected
- fully connected
- graph matching
- small world
- finding the shortest path
- graph databases
- weighted graph
- graph mining
- average degree
- graph structure
- protein interaction networks
- directed graph
- graph model
- graph clustering
- graph construction
- edge weights
- graph theoretic
- labeled graphs
- graph theoretical
- community discovery
- degree distribution
- bipartite graph
- graph structures
- scale free
- link prediction
- minimum spanning tree
- densely connected
- series parallel
- graph kernels
- random walk
- network structure
- adjacency matrix
- semi supervised
- structural pattern recognition
- social graphs
- graph classification
- complex networks
- graph partitioning
- community structure
- real world networks
- real world social networks
- path length
- graph search
- graph data
- undirected graph
- network properties
- strongly connected
- planar graphs
- subgraph isomorphism
- clustering coefficient
- graph representations
- power law
- shortest path
- polynomial time complexity
- maximal cliques
- dynamic graph
- dense subgraphs
- connected subgraphs