Edge-similarity-aware Graph Neural Networks.
Vincent MalletCarlos G. OliverWilliam L. HamiltonPublished in: CoRR (2021)
Keyphrases
- neural network
- weighted graph
- undirected graph
- similarity graph
- similarity measure
- disjoint paths
- graph representation
- random walk
- normalized cut
- graph structure
- edge detection
- vertex set
- edge weights
- distance measure
- pattern recognition
- inexact graph matching
- similarity scores
- graph model
- bipartite graph
- edit distance
- graph theory
- directed graph
- similarity measurement
- maximum common subgraph
- spanning tree
- graph theoretic
- graph based algorithm
- euclidean distance
- multi layer
- neural network model
- similarity function
- edge information
- feed forward
- semantic similarity
- fault diagnosis
- connected components
- spectral clustering
- strongly connected
- graph matching
- multilayer perceptron
- distance function
- graph partitioning
- similarity metric
- directed acyclic graph