Transformer-based knowledge graph generator a deep learning model that reads scientific publications and automatically generates a graphical representation of their content
The neural network of special architecture, the so-called transformer extracts the relevant information from the list of scientific publications and produces a nice-looking graph that visually links genes, diseases, chemical compounds, and biological processes. The knowledge graph is accessible on the Publications tab of the Gene, Disease, and Gene-Disease Association pages. Explore the knowledge graph to gain insights into the molecular mechanisms of the disease, and biological activities of genes and compounds in the context of the disease, and decide on the most promising drug targets and biomarkers. Click on genes and diseases, rearrange nodes, and use zoom and pan functions to come up with publication-ready images. Hovering the mouse over the graph's edge brings up tooltips with the paper citations supporting the corresponding relation in the graph.