With the explosive growth of artificial intelligence (AI) and big data, it has become vitally
important to organize and represent the enormous volume of knowledge appropriately. As …

Graph is an important data representation which appears in a wide diversity of real-world
scenarios. Effective graph analytics provides users a deeper understanding of what is …

Recommender systems (RSs) have been the most important technology for increasing the
business in Taobao, the largest online consumer-to-consumer (C2C) platform in China …

Abstract The incompleteness of Knowledge Graphs (KGs) is a crucial issue affecting the
quality of AI-based services. In the scholarly domain, KGs describing research publications …

Abstract Knowledge Graphs (KGs) have gained considerable attention recently from both
academia and industry. In fact, incorporating graph technology and the copious of various …

We propose a Bayesian generative model for incorporating prior domain knowledge into
hierarchical topic modeling. Although embedded topic models (ETMs) and its variants have …

Individual passenger travel patterns have significant value in understanding passenger's
behavior, such as learning the hidden clusters of locations, time, and passengers. The …

Traditional topic models are widely used for semantic discovery from long texts. However,
they usually fail to mine high-quality topics from short texts (eg tweets) due to the sparsity of …

Abstract Traditional Chinese Medicine (TCM) plays an important role in Chinese society and
is an increasingly popular therapy around the world. A data-driven herb recommendation …

To gain a comprehensive overview of new scientific findings with the enormous, ever-
increasing amount of published information, we apply a new combinatorial approach that …