A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networks
Fig 5
Network visualization and analysis of the drug-disease associations predicted by HGDrug.
(a) In the network, the predicted novel top 100 DDiI network is visualized. The pink nodes are diseases and the green nodes are drugs. The label of the node represents the ID of the drugs (Drugbank_ID) or diseases (UMLS_ID). The node size denotes the degree. The weight of edges (drug-disease associations) denotes the predicted score by HGDrug. (b) Analysis of top 5 drug-disease associations predicted by HGDrug. Four drugs are included in the top 5 predicted potential associations. The similarity between drugs comes from the drug features learned by HGDrug in the DDiI task, and the drug most similar to these four drugs are selected respectively. This network was generated by Gephi (https://gephi.org).