Converting your Knowledge Graph TSV/CSV to a Resource Description Framework (RDF) For Interoperability

<p>Now we read the tsv format into a dataframe. The predicate is the category that the node is assigned too. For example,&nbsp;<a href="https://pubs.acs.org/doi/10.1021/jm4017625" rel="noopener ugc nofollow" target="_blank"><strong>RingsInDrugs</strong></a>, is the most common ring systems in Drugs and it belongs to the Medicinal Chemistry category in our graph.</p> <pre> df = pd.read_csv( &#39;global_chem.tsv&#39;, delimiter=&#39;\t&#39;, header=None, names=[&#39;name&#39;, &#39;smiles&#39;, &#39;node&#39;, &#39;predicate&#39;, &#39;path&#39;] )</pre> <p>First we create the graph where each chemical name is connected to a node.</p> <p><a href="https://sharifsuliman.medium.com/converting-your-knowledge-graph-tsv-csv-to-a-resource-description-framework-rdf-for-e3e7305519bd"><strong>Visit Now</strong></a></p>