Graph Reciprocal Neural Networks by Abstracting Node as Attribute.
Liang YangJiayi WangDongxiao HeChuan WangXiaochun CaoBingxin NiuZhen WangPublished in: ICDM (2023)
Keyphrases
- neural network
- graph structure
- directed graph
- undirected graph
- pattern recognition
- artificial neural networks
- finding the shortest path
- nodes of a graph
- graph theory
- genetic algorithm
- fuzzy logic
- overlapping communities
- edge weights
- random walk
- graph model
- directed acyclic graph
- tree structure
- attribute values
- graph theoretic
- neural network model
- intermediate nodes
- root node
- graph representation
- fuzzy systems
- weighted graph
- bipartite graph
- neural nets
- back propagation
- shortest path
- multilayer perceptron
- path length
- community discovery
- training process
- graph matching
- multi layer