GNNs, or Graph Neural Networks, are a type of neural network that can process data represented as graphs. They are used for tasks such as node classification, link prediction, and graph generation.
GNNs, or Graph Neural Networks, are a type of neural network that can process data represented as graphs. They are used for tasks such as node classification, link prediction, and graph generation.