IEEE Transactions on Neural Networks and Learning Systems· 2020Q1· Review
A Comprehensive Survey on Graph Neural Networks
- 9,396citations
- Q1SCImago
- 2020year
Short summary
This survey provides a comprehensive overview of Graph Neural Networks (GNNs), categorizing state-of-the-art models into recurrent, convolutional, autoencoder, and spatial-temporal types.
AI-generated from the title and abstract; the full text is not read.
TakeawaysIn the app
Key pointsIn the app
Ask the paperIn the app
The rest is in the Pofolia app
Takeaways, key points and questions to the paper; new summaries every day for your field. Free.
Sign in on the web to openField: Artificial Intelligence
Artificial IntelligenceComputer Science