Description
GraphSAGE is a general inductive framework that leverages node feature information (e.g., text attributes) to efficiently generate node embeddings for previously unseen data.
Image from: Inductive Representation Learning on Large Graphs
Papers Using This Method
Cooperative Causal GraphSAGE2025-05-20GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics2025-05-15Benchmarking Graph Neural Networks for Document Layout Analysis in Public Affairs2025-05-12STG: Spatiotemporal Graph Neural Network with Fusion and Spatiotemporal Decoupling Learning for Prognostic Prediction of Colorectal Cancer Liver Metastasis2025-05-06Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks2025-04-23Benchmarking machine learning models for predicting aerofoil performance2025-04-22Detecting Credit Card Fraud via Heterogeneous Graph Neural Networks with Graph Attention2025-04-11Graphs are everywhere -- Psst! In Music Recommendation too2025-04-03Inductive Graph Representation Learning with Quantum Graph Neural Networks2025-03-31Comparing Methods for Bias Mitigation in Graph Neural Networks2025-03-28PowerGNN: A Topology-Aware Graph Neural Network for Electricity Grids2025-03-26Enhanced Soups for Graph Neural Networks2025-03-14Enhancing Social Media Rumor Detection: A Semantic and Graph Neural Network Approach for the 2024 Global Election2025-03-03Soybean Disease Detection via Interpretable Hybrid CNN-GNN: Integrating MobileNetV2 and GraphSAGE with Cross-Modal Attention2025-03-03CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection2025-03-02Generic Multimodal Spatially Graph Network for Spatially Embedded Network Representation Learning2025-02-01Training Graph Neural Networks Using Non-Robust Samples2024-12-19Predictive Query-based Pipeline for Graph Data2024-12-13Graph-Powered Defense: Controller Area Network Intrusion Detection for Unmanned Aerial Vehicles2024-12-03Graph Neural Networks for Heart Failure Prediction on an EHR-Based Patient Similarity Graph2024-11-29