Stock prices movement prediction has been a longstanding research topic. Many studies
have introduced several kinds of external information like relations of stocks, combined with …

Semantic overlapping community detection is an important research hotspot in social
networks. However, most of the existing methods ignore the fusion of multi-semantic …

In today's world, almost every domain has certain and mandatory requirements to
understand at least one of the programming languages which is defined as a way of …

Ontology user portraits describe the semantic structure of users' interests. It is very important
to study the similar relationship between user portraits to find the communities with …

Aiming at the problem of community detection in complex dynamic networks, a dynamic
community detection method based on graph convolution neural network is proposed. An …

Efficiently describing and discovering communities in a network is as one of the most
challenging problems in community detection. The traditional extended community …

It is very important to use ontology user portraits to describe the semantic structure interests
of users and to study the similarity relations among user portraits for discovering overlapping …