GitHub

AI Powered Knowledge Graph Generator

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 ...
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 ...
IEEE

Transformer and Graph Convolution-Based Unsupervised Detection of Machine Anomalous Sound Under Domain Shifts

Abstract: Thanks to the development of deep learning, machine abnormal sound detection (MASD) based on unsupervised learning has exhibited excellent performance. However, in the task of unsupervised ...
GitHub

Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation (WWW 2024)

This is a PyTorch implementation of the GraphCTA algorithm, which tries to address the domain adaptation problem without accessing the labelled source graph. It performs model adaptation and graph ...
Frontiers

Optimization and analysis of permanent magnet assisted reluctance generator with interior rare - Earth - Less combined magnetic poles for extended range electric vehicles

1 Department of Automotive Engineering, Hebei Vocational University of Technology and Engineering, Xingtai, Hebei, China 2 Hebei Special Vehicle Modification Technology Innovation Center, Xingtai, ...