Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks.
Namyong ParkAndrey KanXin Luna DongTong ZhaoChristos FaloutsosPublished in: KDD (2019)
Keyphrases
- graph structure
- directed graph
- neural network
- graph theory
- undirected graph
- weighted graph
- graph theoretic
- graph matching
- bipartite graph
- graph representation
- edge weights
- graph properties
- finding the shortest path
- random graphs
- graph mining
- minimum spanning tree
- pattern recognition
- graph construction
- graph theoretical
- knowledge base
- betweenness centrality
- graph partitioning
- random walk
- graph clustering
- expert systems
- graph search
- graph structures
- structural pattern recognition
- series parallel
- strongly connected
- nodes of a graph
- graph layout
- back propagation
- labeled graphs
- graph classification
- adjacency matrix
- web graph
- graph data
- graph databases
- massive graphs
- spanning tree