A-GNN: Anchors-Aware Graph Neural Networks for Node Embedding.
Chao LiuXinchuan LiDongyang ZhaoShaolong GuoXiaojun KangLijun DongHong YaoPublished in: QSHINE (2019)
Keyphrases
- neural network
- nodes of a graph
- graph structure
- directed graph
- random walk
- pattern recognition
- edge weights
- fuzzy logic
- root node
- weighted graph
- spectral embedding
- back propagation
- graph embedding
- artificial neural networks
- finding the shortest path
- graph theory
- betweenness centrality
- overlapping communities
- graph clustering
- graph representation
- undirected graph
- genetic algorithm
- structured data
- multilayer perceptron
- bipartite graph
- strongly connected
- graphical models
- markov random walk
- vector space
- connected components
- neural network model
- feed forward
- graph theoretic
- activation function
- graph matching
- degree distribution
- intermediate nodes
- path length
- tree structure
- neural nets
- graph partitioning