Graph Neural Network: The Next Frontier in Deep Learning

Graph Neural Network (GNN) is a graph based neural network that adopts the structure of graph to solve the complex problem. This poster highlight the types of GNN along with it application in the different fields like social networks, web connection data, molecular structures, geographic maps and so on. It also highlights the effectiveness of the GNN model in predicting and solving a wide range of real-world problems. Overall, the poster provides an overview of the current state of the art in GNN research and highlights its potential for further applications.