Online consumer social networks have become an important marketing channel for product-
related information diffusion in the technological landscape. This paper aims to identify the …

As the education of students attracts more and more attention, the task of graduation
development prediction has gradually become a hot topic in academia and industry. The …

The link prediction can be used to seek missing or future links in the network, so it has
become a hot research topic. The network generally contains two types of information: the …

To alleviate the problem caused by the sparsity of network structure which is often the case
in large-scale network, attributed network embedding has attracted an increasing amount of …

Abstract Machine learning applications on large-scale network-structured data commonly
encode network information in the form of node embeddings. Network embedding …

The pedagogical effectiveness of an instructional technique can be assessed by its capacity
to adapt to the dynamics of interaction that arise from students' learning engagements. This …

Heterogeneous information networks are widely used to represent real world applications in
forms of social networks, word co-occurrence networks, and communication networks, etc …

Access logs may offer service providers a lot of information about specific users. Depending
on the type of the service offers, the operator is capable of obtaining the user's IP, location …

Abstract Machine learning applications on large-scale network-structured data commonly
encode network information in the form of node embeddings. The general principle of …

Recently, the low-dimensional embedding of nodes has received a large amount of attention
in the field of network analysis. While the existing methods mostly focus on the network …