Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying Glass.
Xin HuangJongryool KimBradley ReesChul-Ho LeePublished in: IISWC (2022)
Keyphrases
- neural network
- artificial neural networks
- random walk
- graph representation
- graph theory
- back propagation
- fault diagnosis
- bp neural network
- dependency graph
- weighted graph
- graph structure
- neural network model
- connected components
- fuzzy logic
- pattern recognition
- genetic algorithm
- directed graph
- computational complexity
- image segmentation
- network architecture
- graph partitioning
- graph theoretic
- feed forward neural networks
- learning vector quantization
- data sets