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I chose to implement a graph using an adjacency list because it allows me to store lots of data, store data of any type I want, and leads to the highest code reusability possible. My other main option ...

For example an adjacency matrix. In our paper we have used adjacency matrix to showcase the graph coloring solution. An adjacency matrix is a 2 dimensional array. The rows and columns of this array ...

Graph Convolutional Neural Networks (GCNs) are widely used to process large-scale graph data. Different from deep neural networks (DNNs), GCNs are sparse, irregular, and unstructured, posing unique ...

In this paper, we investigate the spectral properties of the adjacency and the Laplacian matrices of random graphs. We prove that: (i) the law of large numbers for the spectral norms and the largest ...