Graph Neural Networks for Fast Node Ranking Approximation.
Sunil Kumar MauryaXin LiuTsuyoshi MurataPublished in: ACM Trans. Knowl. Discov. Data (2021)
Keyphrases
- neural network
- graph structure
- directed graph
- betweenness centrality
- link analysis
- undirected graph
- approximation algorithms
- edge weights
- tree structure
- pattern recognition
- graph theory
- mutual reinforcement
- ranking algorithm
- web search
- overlapping communities
- root node
- weighted graph
- finding the shortest path
- nodes of a graph
- random walk
- path length
- graph representation
- strongly connected
- graph model
- directed acyclic graph
- graphical models
- fuzzy logic
- neural network model
- bipartite graph
- learning to rank
- shortest path
- recurrent neural networks
- structured data
- probabilistic model
- genetic algorithm
- pagerank algorithm
- activation function
- small world
- graph matching
- self organizing maps
- closed form
- complex networks
- ranking functions
- neural nets
- multilayer perceptron