Degree-based stratification of nodes in Graph Neural Networks.
Ameen AliLior WolfHakan CevikalpPublished in: ACML (2023)
Keyphrases
- neural network
- graph structure
- directed graph
- random graphs
- weighted graph
- undirected graph
- adjacency matrix
- graph structures
- artificial neural networks
- root node
- edge weights
- planar graphs
- dominating set
- fuzzy logic
- spanning tree
- connected graphs
- average degree
- graph model
- strongly connected
- back propagation
- random walk
- genetic algorithm
- nodes of a graph
- finding the shortest path
- attributed graphs
- directed edges
- pattern recognition
- graph representation
- graph theoretic
- self organizing maps
- graph matching
- neural nets
- betweenness centrality
- graph theory
- graph mining
- small world
- graphical structure
- overlapping communities
- neighboring nodes
- real world graphs
- social graphs
- directed acyclic graph
- connected components
- clustering coefficient
- graphical models