Crunching Connections: Graph Neural Networks and their Applications in Various Domains
Graphs are an essential data structure for representing complex relationships between entities. Graph neural networks (GNNs) are a class of neural networks that can operate directly on graphs, enabling the learning of complex relationships between entities. …
Crunching Connections: Graph Neural Networks and their Applications in Various Domains Graphs are an essential data structure for representing complex relationships between entities. Graph neural networks (GNNs) are a class of neural networks that can operate directly on graphs, enabling the learning of complex relationships between entities. … deep-learning
Crunching Connections Graph Neural Networks Applications Various Domains Graphs essential data structure representing complex relationship entity Graph neural network GNNs class neural network operate directly graph enabling learning complex relationship entity … deeplearning