Learn how to compare tree and graph structures based on their definitions, characteristics, operations, and examples. Find out how to choose between them for your projects.

In addition, this motor structure is capable of large electromagnetic thrust within the size constraints of high precision equipment. To this end, this paper presents a three-dimensional structure and ...

The learning of graph structure is a fundamental problem of a wide range of applications. Here, we collect and summarize the toolboxes, datasets, surveys, related works and other useful open-source ...

We enhance space efficient representations of two types of intersection graphs. We refine the data structure for path graphs of Balakrishnan et al. to give a su Succinct Data Structures for Path ...

Thus, the Euclidean structure of electrodes might not adequately reflect the interaction between signals. To fill the gap, a novel deep learning framework based on the graph convolutional neural ...