Comprehensive dataset of heterogeneous network structures in traditional chinese medicine research.

This dataset presents a comprehensive collection of heterogeneous network structures commonly encountered in biomedical research. The dataset encompasses diverse types of networks, including protein-protein interaction networks, herb-target interaction networks, herb-symptom interaction networks, herb-herb association networks, and symptom-symptom association networks. Each network is represented as a graph, with nodes representing entities such as proteins, herb, symptoms, and efficacy, and edges representing the relationships between these entities. The dataset provides detailed descriptions of the nodes and edges in each network, along with metadata such as node attributes where applicable. This dataset serves as a valuable resource for researchers studying complex biological systems and exploring relationships between various biomedical entities.