Graph Neural Networks, Neural Networks, Artificial Intelligence, Data Science, Machine Learning.
and architectures capable of processing massive graphs in parallel is an active area of research. 2. Robustness and Generalization: Ensuring the robustness and generalization of GBNNs across diverse datasets and domains is crucial. Addressing issues such as overfitting, data heterogeneity, and