Abstract: Knowledge graph embedding is efficient method for reasoning over known facts and inferring missing links. Existing methods are mainly triplet-based or graph-based. Triplet-based approaches ...

Abstract: Graph Attention Networks (GAT) is a type of neural network architecture designed to effectively model and process data represented as graphs. GATs leverage the concept of attention ...

While some users prefer to use Git via CLI, they often rely on a GUI or feature-rich TUI to view commit logs. Others may find git log --graph sufficient. Personally, I found the output from git log ...

Holly Cayley said her sobriety has shown "there is a better life out there" When Holly Cayley woke up in a hospital bed again after another alcohol-related accident, she knew something had to change. ...

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 ...