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FedGST: An Efficient Federated Graph Neural Network for Spatio-temporal PoI Recommendation

https://doi.org/10.1145/3694682
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What this work says

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

inferredcites →https://doi.org/10.1002/(issn)1099-1131openalex-snapshot
International Journal of Communication Systems
inferredcites →https://doi.org/10.1007/978-3-031-11748-0_7openalex-snapshot
A Study of Blockchain-Based Federated Learning
inferredcites →https://doi.org/10.1016/j.compeleceng.2020.106776openalex-snapshot
Intelligence, security, and vehicular sensor networks in internet of things (IoT)-enabled smart-cities: An overview
inferredcites →https://doi.org/10.1016/j.inffus.2023.102182openalex-snapshot
Spatial–Temporal Federated Transfer Learning with multi-sensor data fusion for cooperative positioning
inferredcites →https://doi.org/10.1016/j.ins.2022.11.124openalex-snapshot
SVeriFL: Successive verifiable federated learning with privacy-preserving
inferredcites →https://doi.org/10.1016/j.ins.2024.120217openalex-snapshot
Federated distillation and blockchain empowered secure knowledge sharing for Internet of medical Things
inferredcites →https://doi.org/10.1016/j.is.2021.101789openalex-snapshot
Points of Interest recommendations: Methods, evaluation, and future directions
inferredcites →https://doi.org/10.1016/j.neucom.2021.05.114openalex-snapshot
A survey on deep learning based Point-of-Interest (POI) recommendations
inferredcites →https://doi.org/10.1109/jiot.2022.3160425openalex-snapshot
High-Quality Model Aggregation for Blockchain-Based Federated Learning via Reputation-Motivated Task Participation
inferredcites →https://doi.org/10.1109/jsac.2023.3310046openalex-snapshot
Digital Twin Enhanced Federated Reinforcement Learning With Lightweight Knowledge Distillation in Mobile Networks
inferredcites →https://doi.org/10.1109/jsac.2023.3345431openalex-snapshot
Personalized Federated Learning With Model-Contrastive Learning for Multi-Modal User Modeling in Human-Centric Metaverse
inferredcites →https://doi.org/10.1109/tai.2021.3076021openalex-snapshot
Graph Learning: A Survey
inferredcites →https://doi.org/10.1109/tcss.2020.2987846openalex-snapshot
Deep Correlation Mining Based on Hierarchical Hybrid Networks for Heterogeneous Big Data Recommendations
inferredcites →https://doi.org/10.1109/tcss.2023.3259431openalex-snapshot
Hierarchical Federated Learning With Social Context Clustering-Based Participant Selection for Internet of Medical Things Applications
inferredcites →https://doi.org/10.1109/tdsc.2021.3126323openalex-snapshot
VerSA: Verifiable Secure Aggregation for Cross-Device Federated Learning
inferredcites →https://doi.org/10.1109/tits.2024.3362058openalex-snapshot
Adaptive Segmentation Enhanced Asynchronous Federated Learning for Sustainable Intelligent Transportation Systems
inferredcites →https://doi.org/10.1109/tkde.2020.3007194openalex-snapshot
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation
inferredcites →https://doi.org/10.1109/tkde.2023.3243239openalex-snapshot
Zone-Enhanced Spatio-Temporal Representation Learning for Urban POI Recommendation
inferredcites →https://doi.org/10.1109/tnnls.2023.3330864openalex-snapshot
Information Theoretic Learning-Enhanced Dual-Generative Adversarial Networks With Causal Representation for Robust OOD Generalization
inferredcites →https://doi.org/10.1109/tnnls.2024.3389714openalex-snapshot
Reconstructed Graph Neural Network With Knowledge Distillation for Lightweight Anomaly Detection
inferredcites →https://doi.org/10.1109/tsc.2019.2918310openalex-snapshot
An Attention-Based Spatiotemporal LSTM Network for Next POI Recommendation
inferredcites →https://doi.org/10.1109/tsmc.2014.2327053openalex-snapshot
Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs
inferredcites →https://doi.org/10.1109/tvt.2023.3239054openalex-snapshot
Semantics-Aware Dynamic Graph Convolutional Network for Traffic Flow Forecasting
inferredcites →https://doi.org/10.1145/2484028openalex-snapshot
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
inferredcites →https://doi.org/10.1145/3366423.3380186openalex-snapshot
Traffic Flow Prediction via Spatial Temporal Graph Neural Network
inferredcites →https://doi.org/10.1145/3394138openalex-snapshot
Practical Privacy Preserving POI Recommendation
inferredcites →https://doi.org/10.1145/3442381openalex-snapshot
Proceedings of the Web Conference 2021
inferredcites →https://doi.org/10.1145/3477495openalex-snapshot
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
inferredcites →https://doi.org/10.1145/3501296openalex-snapshot
Federated Learning for Smart Healthcare: A Survey
inferredcites →https://doi.org/10.1145/3501811openalex-snapshot
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning
inferredcites →https://doi.org/10.1145/3513092openalex-snapshot
Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation
inferredcites →https://doi.org/10.1145/3536424openalex-snapshot
NB-IoT Coverage and Sensor Node Connectivity in Dense Urban Environments: An Empirical Study
inferredcites →https://doi.org/10.1145/3539597openalex-snapshot
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining
inferredcites →https://doi.org/10.1145/3555374openalex-snapshot
Decentralized Collaborative Learning Framework for Next POI Recommendation
inferredcites →https://doi.org/10.1609/aaai.v33i01.33015877openalex-snapshot
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation
inferredcites →https://doi.org/10.24963/ijcai.2022openalex-snapshot
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
inferredcites →https://doi.org/10.24963/ijcai.2022/792openalex-snapshot
Towards Verifiable Federated Learning
inferredcites →https://doi.org/10.3390/ijgi8080355openalex-snapshot
An Attention-Based Spatiotemporal Gated Recurrent Unit Network for Point-of-Interest Recommendation

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-032-21171-2_4openalex-snapshot
FedSTAR: A Federated Learning Framework for Reliable Trajectory Prediction Under Spatiotemporal Heterogeneity
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.115555openalex-snapshot
Multi-factor fusion enabled federated point-of-interest recommendation in personal data trusteeship scenario
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.112867openalex-snapshot
A multi-spatiotemporal joint next-POI travel sequence recommendation method based on federated learning
inferred← citeshttps://doi.org/10.1109/icws72778.2026.00043openalex-snapshot
Dual-Diffusion Service Recommendation with External Knowledge Graphs
inferred← citeshttps://doi.org/10.1109/tkde.2025.3606643openalex-snapshot
Personalized Recommendation Models in Federated Settings: A Survey
inferred← citeshttps://doi.org/10.1109/tnsm.2025.3645253openalex-snapshot
Subgraph-Driven Lightweight Federated Learning for Spatiotemporal Cellular Traffic Prediction
inferred← citeshttps://doi.org/10.1109/tsmc.2026.3651345openalex-snapshot
Exploiting Hierarchical Category Information to Improve Next Point-of-Interest Recommendation Via Hyperbolic Graph Convolution Network
inferred← citeshttps://doi.org/10.1145/3729224openalex-snapshot
CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems
inferred← citeshttps://doi.org/10.1145/3774904.3792533openalex-snapshot
Verifiable Federated Representation Learning for Cross-domain Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3774904.3793003openalex-snapshot
FairFRL: Fairness-aware Federated Representation Learning for Cross-domain Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3797905.3816724openalex-snapshot
Parallel Query Processing through Optimal Key Grouping on GPU-Based B+-Trees
inferred← citeshttps://doi.org/10.1145/3801080.3801083openalex-snapshot
Data-Efficient Graph Learning for Responsible AI Systems
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