Maintenance planning recommendation of complex industrial equipment based on knowledge graph and graph neural network

L ** and visual simultaneous localization and map** in …
ML Hoang - International Journal of Intelligent Robotics and …, 2025 - Springer
Abstract Simultaneous Localization and Map** (SLAM) and Visual SLAM are crucial
technologies in robotics, allowing autonomous systems to navigate and comprehend their …

A community detection approach based on network representation learning for repository mining

M De Luca, AR Fasolino, A Ferraro, V Moscato… - Expert Systems with …, 2023 - Elsevier
In this paper, we propose a novel heterogeneous graph-based model for capturing and
handling all the complex and strongly-correlated information of a software Developer Social …

Ensemble multi-relational graph neural networks

Y Wang, H Xu, Y Yu, M Zhang, Z Li, Y Yang… - arxiv preprint arxiv …, 2022 - arxiv.org
It is well established that graph neural networks (GNNs) can be interpreted and designed
from the perspective of optimization objective. With this clear optimization objective, the …

Graph neural networks with multi-features for predicting cocrystals using APIS and coformers interactions

ME Mswahili, K Jo, SD Lee… - Current Medicinal …, 2024 - benthamdirect.com
Introduction: Active pharmaceutical ingredients (APIs) have gained direct pharmaceutical
interest, along with their in vitro properties, and thus utilized as auxiliary solid dosage forms …

A systematic graph-based methodology for cognitive predictive maintenance of complex engineering equipment

L **a - 2024 - theses.lib.polyu.edu.hk
Maintenance is a vital aspect of ensuring the reliability, availability, and safety of machinery
and systems. Traditional maintenance approaches, such as corrective and preventive …