This AI method from MIT and IBM Research improves training and inference performance of deep learning models on large graphs
Charts, an abstract and nonlinear type of data, are frequently used to illustrate the connections between different types of data, such as social media connections, hierarchies, financial transactions, etc. efficient calculation algorithms because the amount of data represented in the form of graphs is quite large. A neural network that directly manipulates graph structures is …