As a result of the automatic evaluation, the T5 language model with and without mask was comparable with the bidirectional Graph2Seq model (G2S), known as the QG model, using knowledge graphs.

We develop a scalable graph transformer as the foundational encoder, which effectively and efficiently captures node-wise dependencies within the global topological context. We introduce a data ...

If CIOs want to start exploiting the hidden knowledge and untapped potential in their internal data stores by applying LLMs to them, then building and refining knowledge graphs using proven graph ...

Code and Data for the submission: "Prompting Disentagled Embeddings for Knowledge Graph Completion with Pre-trained Language Model". We Provide two versions of Code for Our model. One is traditional ...

Graphical representations such as chart images are integral to web pages and documents. Automating data extraction from charts is possible by reverse-engineering the visualization pipeline. This study ...