Seeking Similarities While Removing Differences: Graph Neural Networks Based on Node Correlation.
Shuangjie LiBaoming ZhangJianqing SongYifan XiaJunyuan XieChongjun WangPublished in: ICASSP (2024)
Keyphrases
- neural network
- graph structure
- directed graph
- undirected graph
- finding the shortest path
- pattern recognition
- random walk
- structured data
- similarity measure
- root node
- nodes of a graph
- neural nets
- tree structure
- graph representation
- graph theoretic
- weighted graph
- graph theory
- directed acyclic graph
- edge weights
- path length
- feed forward
- back propagation
- correlation coefficient
- overlapping communities
- graph model
- spanning tree
- fault diagnosis
- shortest path
- fuzzy logic
- strongly connected
- bipartite graph
- graph clustering
- web graph
- graph matching
- connected components
- clustering algorithm
- social networks