Model Explorer offers an intuitive and hierarchical visualization of model graphs. It organizes model operations into nested layers, enabling users to dynamically expand or collapse these layers. It ...

The prediction of drug-target interactions (DTIs) has emerged as a vital step in drug discovery. Recently, biomedical knowledge graph enables the utilization of multi-omics resources for modelling ...

This system takes an unstructured text document, and uses an LLM of your choice to extract knowledge in the form of Subject-Predicate-Object (SPO) triplets, and visualizes the relationships as an ...

In this paper, we propose a graph structure enhanced pre-training language model for knowledge graph completion. Firstly, we design a graph sampling algorithm and a Graph2Seq module for constructing ...