  In the real world, most objects and data have multiple types of attributes
and inter-connections. Such data structures are named "Heterogeneous
Information Networks" (HIN) and have been widely researched. Biological systems
are also considered to be highly complicated HIN. In this work, we review
various applications of HIN methods to biological and chemical data, discuss
some advanced topics, and describe some future research directions.
