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 ...

The model provides county-level analysis and simulates the benefits of mask-wearing in terms of illnesses and deaths. A new data-driven model shows that wearing masks saves lives – and the ...

In recent years, Transformer models have been widely developed in various fields, such as natural language processing (NLP) and computer vision (CV). However, its application in graph data structures ...

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 ...