Reducing Over-smoothing in Graph Neural Networks Using Relational Embeddings.
Yeskendir KoishekenovPublished in: CoRR (2023)
Keyphrases
- neural network
- pattern recognition
- random walk
- weighted graph
- graph structure
- relational data
- directed graph
- relational databases
- graph theoretic
- graph representation
- graph model
- graph mining
- vector space
- bipartite graph
- recurrent neural networks
- relational graph
- relational structures
- minimum spanning tree
- directed acyclic graph
- graph theory
- euclidean space
- multilayer perceptron
- database
- neural network model
- back propagation
- data model
- fuzzy logic
- knn
- manifold learning
- genetic algorithm
- artificial neural networks
- fault diagnosis
- structured data
- graph partitioning
- low dimensional
- denoising