Graph representation learning aims to effectively encode high-dimensional sparse graph-
structured data into low-dimensional dense vectors, which is a fundamental task that has …

A scholarly recommendation system is an important tool for identifying prior and related
resources such as literature, datasets, grants, and collaborators. A well-designed scholarly …

Globally, the recommendation services have become important due to the fact that they
support e-commerce applications and different research communities. Recommender …

Scientific collaboration contributes to the innovation of science and technology. For
individual scholars, it is valuable to find potential and valuable collaborators to improve the …

Rapidly developing academic venues throw a challenge to researchers in identifying the
most appropriate ones that are in-line with their scholarly interests and of high relevance …

Scholarly venue recommendation is an emerging field due to a rapid surge in the number of
scholarly venues concomitant with exponential growth in interdisciplinary research and …

The phenomenon of rapidly developing academic venues poses a significant challenge for
researchers: how to recognize the ones that are not only in accordance with one's scholarly …

In academia, researchers collaborate with their peers to improve the quality of research and
thereby enhance academic profiles. However, information overload in big scholarly data …

Natural language processing technologies, such as topic models, have been proven to be
effective for scholarly recommendation tasks with the ability to deal with content information …

With the continuous deepening of academic research in various disciplines and the
continuous increase in the number of scientific researchers, exploring the mechanism of …