Federated graph neural network
Graph Neural Networks is a form of machine learning that has seen significant growth in popularity and use, owing to their natural affinity for capturing implicit representations that exist in real-world phenomena. Many of these real-world phenomena involve people-centric data, which are privacy-sen...
Main Author: | Koh, Tat You @ Arthur |
---|---|
Other Authors: | Yu Han |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
Nanyang Technological University
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/153240 |
Similar Items
-
Federated learning for graph neural networks
by: Yan, Yige
Published: (2023) -
An investigation of the application of graph neural networks in recommendation systems
by: Koh, Jaylene Jia Ying
Published: (2023) -
Benchmarking novel graph neural networks
by: Bhagwat, Abhishek
Published: (2021) -
Federated graph neural networks: overview, techniques, and challenges
by: Liu, Rui, et al.
Published: (2024) -
Graph convolutional neural networks for text categorization
by: Lakhotia, Suyash
Published: (2018)