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.