【论文导读】- STFL: A Spatial-Temporal Federated Learning Framework for Graph Neural Networks - 代码天地

【论文导读】- STFL: A Spatial-Temporal Federated Learning Framework for Graph Neural Networks

企业开发 2023-06-21 16:20:09 阅读次数: 0

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转载自blog.csdn.net/weixin_43598687/article/details/131141861

【论文导读】- STFL: A Spatial-Temporal Federated Learning Framework for Graph Neural Networks

Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting

阅读笔记（FedGraphNN: A Federated Learning Benchmark System for Graph Neural Networks）

【论文导读】- SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks（去服务器的多任务图联邦学习）

【论文导读】- Federated Graph Neural Networks: Overview, Techniques and Challenges（联邦图神经网络：概述、技术和挑战）

论文笔记——Federated learning framework for mobile edge computing networks

【论文导读】- A vertical federated learning framework for graph convolutional network（一种用于图卷积网络的纵向联邦学习框架）

【论文导读】- Variational Graph Recurrent Neural Networks（VGRNN）

FEW-SHOT LEARNING WITH GRAPH NEURAL NETWORKS 论文笔记

论文解读：SuperGlue: Learning Feature Matching with Graph Neural Networks

《论文阅读27》SuperGlue: Learning Feature Matching with Graph Neural Networks

论文阅读：Spatial-Temporal Transformer for Dynamic Scene Graph Generation

论文Spatial-Temporal Transformer for Dynamic Scene Graph Generation

【论文导读】-Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling（跨节点联邦图神经网络时空数据建模）

A Joint Learning and Communications Framework for Federated Learning over Wireless Networks

《Few-Shot Learning with Graph Neural Networks》

Curriculum Learning and Graph Neural Networks (or Graph Structure Learning)

【论文导读】- GraphFL: A Federated Learning Framework for Semi-Supervised Node Classiﬁcation on Graphs

论文阅读-SecureBoost: A Lossless Federated Learning Framework

《Graph Representation Learning》【6】——Graph Neural Networks in Practice

STGCN:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecastin

【论文阅读】Learning Representations of Inactive Users: A Cross Domain Approach with Graph Neural Networks

论文笔记：《GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks》

【论文笔记1】Learning Hierarchical Graph Neural Networks for Image Clustering

【论文导读】-Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification纵向联邦图神经网络

Multi-View Gait Recognition Based on A Spatial-Temporal Deep Neural Network论文翻译和理解

Temporal Graph Networks for Deep Learning on Dynamic Graphs

【论文导读】- Cluster-driven Graph Federated Learning over Multiple Domains（聚类驱动的图联邦学习）

【论文笔记】图像修复Learning Joint Spatial-Temporal Transformations for Video Inpainting

「Deep Learning」Note on Graph Neural Networks: A Review of Methods and Applications

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