Understanding potential pitfalls—and how to overcome them—can help organizations maximize the value of this technology.

Topological insulators (TIs) are among the hottest topics in condensed matter physics today. They're a bit strange: Their surfaces conduct electricity, yet their interiors do not, instead acting ...

However, a sticking point has been the stability of these topological textures and how they can be controlled and steered by an external electrical or optical stimulus. A team led by Prof.

To solve this problem, a key node identification model based on Graph Convolutional Networks (GCN), named KNIGCN ... and finally KNIGCN model is used to predict the criticality scores of each node and ...

The priority sorting of emails in Apple Mail for iOS will come to the Mac in an update expected around April. Here's what's coming, and whether it'll be useful. There are more showy elements of ...

This study proposes a novel hybrid Topological Data Analysis (TDA) and Graph Neural Network (GNN) to optimize credit risk assessment in SCF. By leveraging BallMapper (BM) topological data analysis ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.nanolett.4c05120. Detailed information on the interaction Hamiltonian ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Topological sort is a way of ordering the nodes of a directed acyclic graph (DAG) such that for every edge from node u to node v, u comes before v in the order. For example, if you have a graph of ...