GDLL: A Scalable and Share Nothing Architecture Based Distributed Graph Neural Networks Framework

[PDF] arxiv.org

GraphTheta: A distributed graph neural network learning system with flexible training strategy

Y Liu, H Li, G Zhang, X Zeng, Y Li, B Huang… - arXiv preprint arXiv …, 2021 - arxiv.org
Graph neural networks (GNNs) have been demonstrated as a powerful tool for analyzing
non-Euclidean graph data. However, the lack of efficient distributed graph learning systems …
被引用次数：13 相关文章 所有 2 个版本
[PDF] arxiv.org

GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural Properties of Graphs

Z Zhu, B Jing, X Wan, Z Liu, L Liang - arXiv preprint arXiv:2401.03114, 2024 - arxiv.org
As a powerful tool for modeling graph data, Graph Neural Networks (GNNs) have received
increasing attention in both academia and industry. Nevertheless, it is notoriously difficult to …
相关文章 所有 2 个版本

Graph and Structured Data Algorithms in Electronic Health Records: A Scoping Review

L Ramosaj, A Bytyçi, B Shala, E Bytyçi - Research Conference on …, 2023 - Springer
The provision of some of the most fundamental services related to health and wellbeing
makes healthcare an essential part of society. Patient information management and …
相关文章 所有 2 个版本