Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
Haitao MaoZhikai ChenWei JinHaoyu HanYao MaTong ZhaoNeil ShahJiliang TangPublished in: NeurIPS (2023)
Keyphrases
- neural network
- graph representation
- structural information
- maximal cliques
- graph model
- back propagation
- random walk
- pattern recognition
- image registration
- neural nets
- feed forward
- maximum clique
- fuzzy systems
- multi layer
- graph structure
- recurrent neural networks
- directed graph
- fuzzy logic
- genetic algorithm
- neural network model
- graph based algorithm
- bounded treewidth
- social networks
- graph theoretic
- three dimensional
- artificial neural networks
- graph mining
- directed acyclic graph
- ground truth
- weighted graph
- single image
- graph theory
- disparity map
- structured data
- fault diagnosis
- graph matching
- memory requirements