The fastest Python implementation of the ForceAtlas2 graph layout algorithm, with Cython optimization for 10-100x speedup. Supports NetworkX, igraph, and raw adjacency matrices. ForceAtlas2 is a force ...

Abstract: In everyday life, it is crucial to protect our data and communication. The necessity for secure message communication is not a novel concept. It has existed for a long time. Data security ...

We proposed a fast ellipse detection method based on arc adjacency matrix. We have successfully used this method in some applications, such as satellite tracking, UGV guidance and pose estimation. We ...

Characterizing the representations encoded in patterns of neural activity is key to understanding brain computation. Representational similarity analysis uses the geometry of neural population ...

PPA-GCN is a deep learning framework based on a graph convolutional model (Figure 1). Gene synteny information from the selected genome is used to construct edges in a network, while genes sharing ...

The process of ranking scientific publications in dynamic citation networks plays a crucial rule in a variety of applications. Despite the availability of a number of ranking algorithms, most of them ...

In light of the rapid accumulation of large-scale omics datasets, numerous studies have attempted to characterize the molecular and clinical features of cancers from a multi-omics perspective. However ...