Introduction to Graph Neural Networks (GNNs)
In order to benefit from the structure and characteristics of graphs, neural networks have been modified. We examine the elements required to construct a graph neural network and discuss the rationale for the design decisions made. What are Graphs? A Graph is a non-linear data structure consisting of nodes and edges. The…
Introduction to Graph Neural Networks (GNNs) In order to benefit from the structure and characteristics of graphs, neural networks have been modified. We examine the elements required to construct a graph neural network and discuss the rationale for the design decisions made. What are Graphs? A Graph is a non-linear data structure consisting of nodes and edges. The… deep-learning
Introduction Graph Neural Networks GNNs order benefit structure characteristic graph neural network modified examine element required construct graph neural network discus rationale design decision made Graphs Graph nonlinear data structure consisting node edge The… deeplearning