A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions.
Bharti KhemaniShruti PatilKetan KotechaSudeep TanwarPublished in: J. Big Data (2024)
Keyphrases
- future directions
- lessons learned
- neural network
- current challenges
- current status
- open questions
- advanced technologies
- graph data
- graph structure
- pattern recognition
- directed acyclic graph
- fuzzy logic
- directed graph
- current trends
- random walk
- benchmark datasets
- genetic algorithm
- web intelligence
- graph mining
- self organizing maps
- case study
- data sets
- software product line
- health sciences
- graph model
- weighted graph
- neural network model
- structured data
- computational intelligence
- artificial neural networks
- machine learning
- data mining