Network embedding task aims at learning low-dimension latent representations of vertices
while preserving the structure of a network simultaneously. Most existing network embedding …

Link prediction in dynamic networks aims to predict edges according to historical linkage
status. It is inherently difficult because of the linear/non-linear transformation of underlying …

We developed the eccDB database to integrate available resources for extrachromosomal
circular DNA (eccDNA) data. eccDB is a comprehensive repository for storing, browsing, …

Link prediction is an important task in social network analysis. The task is to predict missing
links in current networks or new links in future networks. The key challenge in link prediction …

Data sparseness and unseen words are two major problems in short text classification. In such
a case, it is unsuitable to directly use the vector space model (VSM) which focuses on the …

Collective prediction algorithms have been used to improve performances when network
structures are involved in prediction tasks. The training dataset of such tasks often contain …

Speech sentiments are inherently dynamic. However, most of the existing methods for
speech sentiment analysis follow the paradigm: one single hard label for an entire utterance, …

Accessible chromatin refers to the active regions of a chromosome that are bound by many
transcription factors (TFs). Changes in chromatin accessibility play a critical role in …

The propagation characteristics of SH waves along the circumferential direction in an orthotropic
layer/piezoelectric column structure with a non-ideal interface are studied in this paper. …

In order to improve the quality of personnel training and promote the high quality development
of military academies, it is necessary to deepen the reform of teacher, textbook and …