IEEE

A Review of State-of-the-Art Deep Learning Models for Knowledge Graphs

Abstract: Deep Learning (DL) has revolutionized Knowledge Graph (KG) construction and reasoning in the recent past. The integration of DL models with KGs has shown potential to offer numerous benefits ...
IEEE

The Construction of Knowledge Graphs in the Assembly Domain Based on Deep Learning

Abstract: The operation scenario of human-robot collaboration assembly involves multiple channels to acquire assembly domain knowledge data. In order to equip collaborative robots with certain general ...
Journal of Medical Internet Research

Large Language Model–Driven Knowledge Graph Construction in Sepsis Care Using Multicenter Clinical Databases: Development and Usability Study

Conclusions: This study represents a pioneering effort in using LLMs, particularly GPT-4.0, to construct a comprehensive sepsis knowledge graph. The innovative application of prompt engineering, ...
GitHub

Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive Sensing

1 School of Electronic and Information Engineering, Beijing Jiaotong University, China 2 School of Automation and Intelligence, Beijing Jiaotong University, China Recently, Deep Unfolding Networks ...