Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks.
Namyong ParkAndrey KanXin Luna DongTong ZhaoChristos FaloutsosPublished in: CoRR (2019)
Keyphrases
- graph structure
- neural network
- directed graph
- graph theory
- undirected graph
- graph representation
- weighted graph
- graph construction
- graph theoretical
- graph databases
- edge weights
- graph matching
- adjacency matrix
- series parallel
- random graphs
- graph theoretic
- finding the shortest path
- graph model
- graph mining
- labeled graphs
- minimum spanning tree
- pattern recognition
- graph classification
- graph properties
- inexact graph matching
- knowledge base
- graph clustering
- spanning tree
- graph search
- root node
- bipartite graph
- directed acyclic
- artificial neural networks
- graph data
- graph partitioning
- connected components
- tree structure
- betweenness centrality
- reachability queries
- back propagation
- maximum common subgraph