The evolution of distributed systems for graph neural networks and their origin in graph processing and deep learning: A survey

J Vatter, R Mayer, HA Jacobsen - ACM Computing Surveys, 2023 - dl.acm.org
Graph neural networks (GNNs) are an emerging research field. This specialized deep
neural network architecture is capable of processing graph structured data and bridges the …

The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey

J Vatter, R Mayer, HA Jacobsen - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Abstract Graph Neural Networks (GNNs) are an emerging research field. This specialized
Deep Neural Network (DNN) architecture is capable of processing graph structured data …

Machine Unlearning: A Survey

H Xu, T Zhu, L Zhang, W Zhou… - ACM Computing Surveys, 2023 - opus.lib.uts.edu.au
Machine learning has attracted widespread attention and evolved into an enabling
technology for a wide range of highly successful applications, such as intelligent computer …

The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey

J Vatter, R Mayer, HA Jacobsen - arXiv preprint arXiv:2305.13854, 2023 - arxiv.org
Graph Neural Networks (GNNs) are an emerging research field. This specialized Deep
Neural Network (DNN) architecture is capable of processing graph structured data and …

Machine Unlearning: A Survey

H Xu, T Zhu, L Zhang, W Zhou, PS Yu - ACM Computing Surveys, 2023 - dl.acm.org
Machine learning has attracted widespread attention and evolved into an enabling
technology for a wide range of highly successful applications, such as intelligent computer …

Machine Unlearning: A Survey

H Xu, T Zhu, L Zhang, W Zhou, PS Yu - arXiv preprint arXiv:2306.03558, 2023 - arxiv.org
Machine learning has attracted widespread attention and evolved into an enabling
technology for a wide range of highly successful applications, such as intelligent computer …

Machine Unlearning: A Survey

H Xu, T Zhu, L Zhang, W Zhou, PS Yu - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Abstract Machine learning has attracted widespread attention and evolved into an enabling
technology for a wide range of highly successful applications, such as intelligent computer …