Heterogeneous social networks, which are characterized by diverse interaction types, have
resulted in new challenges for missing link prediction. Most deep learning models tend to …

With abundant information and interconnectedness among people, identifying
knowledgeable individuals in specific domains has become crucial for organizations …

We present Wiser, a new semantic search engine for expert finding in academia. Our system
is unsupervised and it jointly combines classical language modeling techniques, based on …

Analyzing the rich information behind heterogeneous networks through network
representation learning methods is signifcant for many application tasks such as link …

In the midst of a vast amount of scientific literature, the need for specific rules arise
especially when it comes to deciding which impactful researchers should be nominated …

Abstract Information networks generally exhibit three characteristics, namely dynamicity,
heterogeneity, and node attribute diversity. However, most existing network embedding …

The assessment and evaluation of the academic influence of the researcher is a challenging
task. This task allows the scientific community to make valuable decisions, such as …

As a knowledge representation method, knowledge graph is widely used in intelligent
question answering systems and recommendation systems. At present, the research on …

Understanding how knowledge is technically transferred across academic disciplines is very
relevant for understanding and facilitating innovation. There are two challenges for this …

The measurement and assessment of academic performance is now a fact of scientific life.
This assessment guides the scientific community in making significant judgments such as …