On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks.
Jhony H. GiraldoKonstantinos SkianisThierry BouwmansFragkiskos D. MalliarosPublished in: CIKM (2023)
Keyphrases
- trade off
- neural network
- random walk
- graph structure
- pattern recognition
- graph representation
- graph theory
- genetic algorithm
- graph model
- bipartite graph
- neural network model
- directed graph
- self organizing maps
- fuzzy logic
- smoothing methods
- fault diagnosis
- back propagation
- fuzzy systems
- directed acyclic graph
- spanning tree
- graph based algorithm
- connected components
- dependency graph
- minimum spanning tree
- graph data
- graph theoretic
- artificial neural networks
- graph partitioning
- graph mining
- training process
- multi layer
- weighted graph
- language model
- graph matching
- feed forward
- complex networks