Graph Neural Networks, Transformers, Machine Learning, Artificial Intelligence, Graph Processing.
The ability of graph neural networks (GNNs) to deal with graph data structures has made them suitable for real-life applications in social networks, bioinformatics, and navigation and planning problems in robotics. But despite their growing popularity, GNNs are not without their limitations, which