AGS-GNN: Attribute-guided Sampling for Graph Neural Networks.
Siddhartha Shankar DasS. M. FerdousMahantesh M. HalappanavarEdoardo SerraAlex PothenPublished in: CoRR (2024)
Keyphrases
- neural network
- attributed graphs
- random walk
- graph structure
- artificial neural networks
- graph representation
- random sampling
- back propagation
- graph model
- graph theoretic
- neural network model
- graph matching
- bipartite graph
- graph clustering
- directed acyclic graph
- graph theory
- neural nets
- pattern recognition
- weighted graph
- directed graph
- monte carlo
- graph databases
- graph partitioning
- sample size
- fuzzy logic
- rule extraction
- genetic algorithm