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Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Graph-Temporal LSTM Networks for Skeleton-Based Action Recognition

inferredcites →https://doi.org/10.1109/bigdata47090.2019.9005983openalex-snapshot

SGNN: A Graph Neural Network Based Federated Learning Approach by Hiding Structure

inferredcites →https://doi.org/10.1145/3219819.3219890openalex-snapshot

Graph Convolutional Neural Networks for Web-Scale Recommender Systems

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Non-convex Optimization for Machine Learning

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Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

inferredcites →https://doi.org/10.24963/ijcai.2018/505openalex-snapshot

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

inferredcites →https://doi.org/10.3115/v1/d14-1179openalex-snapshot

Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

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Simple, Efficient, and Neural Algorithms for Sparse Coding

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Communication-Efficient Learning of Deep Networks from Decentralized Data

inferredcites →https://doi.org/10.48550/arxiv.1706.02216openalex-snapshot

Inductive Representation Learning on Large Graphs

inferredcites →https://doi.org/10.48550/arxiv.2003.02236openalex-snapshot

Forecasting Sequential Data using Consistent Koopman Autoencoders

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Graph Neural Network for Spatiotemporal Data: Methods and Applications

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Full-Link Delivery Time Prediction in Logistics Using Federated Heterogeneous Graph Transformer

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FedSG: Subgraph Federated Learning on Multiple Non-IID Graphs

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Federated Subgraph Learning over Spatio-Temporal Graphs for Traffic Prediction

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ACTA: Autonomy and Coordination Task Assignment in Spatial Crowdsourcing Platforms

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Federated Learning on Non-IID Graphs via Structural Knowledge Sharing

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An IoMT-based Federated Learning Survey in Smart Transportation

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Mutli-Modality Federate Learning with Multi-Source Data for Forest Fire Prediction

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Quantifying Bytes: Understanding Practical Value of Data Assets in Federated Learning

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ComPact: Edge Collaborative Spatiotemporal Graph Learning for Wind Speed Forecasting

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A Privacy-Enhancing Mechanism for Federated Graph Neural Networks

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FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

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SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks

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Federated Graph Classification over Non-IID Graphs

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FedLab: A Flexible Federated Learning Framework

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