Summary: A Comprehensive Survey of Graph Neural Networks
January 3, 2023
There is still much work to be done in terms of developing efficient and effective GNN architectures and algorithms, and in understanding the strengths and limitations of GNNs in different contexts.
Related articles
Graph Neural Networks (GNN)
GNNs are a type of neural network that can process data with complex, non-Euclidean structure, such as graphs and networks. They have been widely used in AI and ML for tasks such as node…
Read the complete article at: bilwasiva.medium.com
About The Author
