Force-directed algorithms have been developed over the last 50 years and used in many
application fields, including information visualisation, biological network visualisation …

Association rule mining is an established machine learning tool for finding patterns ('rules')
in big datasets. The algorithm can easily produce a large number of 'rules' of how items in a …

Within organizations, managers' specific responsibilities and domain expertise shape their
interests in the output of social network analysis. Our proposed visualization approach is …

GNNs are widely used to solve various tasks including node classification and link
prediction. Most of the GNN architectures assume the initial embedding to be random or …

知识图谱数据是由自然语言处理模型在海量文本文献中提取出来的, 具有实体间关系的一种典型
网络结构数据, 而网络结构数据的主流可视化方法是使用力导向布局的节点链接图 …

While similar documents are, traditionally, found using Natural Language Processing, we
observe reference/citation information by authors indicates better insight of similarity. Our …

Decision making in stock investment is often made based on current events in the market
and the analysis of historical data on specific stocks. Besides, similar rates of price changing …

Abstract Knowledge graph data is a typical network data with inter-entity relationships
extracted by natural language processing models from a large amount of text documents …

Collaboration, performed by a large group of experts of diverse fields and competences, is a
time-demanding and complex process. It is crucial to provide tools to facilitate the …

In this paper were researched the graph layout methods on user discussions. The main goal
of this work is development of methods and tools for visualizing the structure of discussions …