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70 results on '"Graph neural networks (GNN)"'

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1. Anomaly Detection in Dynamic Graphs: A Comprehensive Survey.

2. Multi-Relational Graph Representation Learning for Financial Statement Fraud Detection

3. Circuit topology aware GNN-based multi-variable model for DC-DC converters dynamics prediction in CCM and DCM.

4. Integrating neural network-driven customization, scalability, and cloud computing for enhanced accuracy and responsiveness for social network modelling.

5. Smart Implementation of IoT and UAVs-Based Transportation of Blood Samples for Digital Healthcare

6. IoT and AI-Based Smart Healthcare Monitoring System

7. Real-Time Organ Status Tracking System for Digital Healthcare

10. An Alternative Approach to Automated Code Checking – Application of Graph Neural Networks Trained on Synthetic Data for an Accessibility Check Case Study

11. A hyperspectral metal concentration inversion method using attention mechanism and graph neural network

12. Anomaly detection analysis based on correlation of features in graph neural network.

13. Securing Data From Side-Channel Attacks: A Graph Neural Network-Based Approach for Smartphone-Based Side Channel Attack Detection

14. Circuit Dynamics Prediction via Graph Neural Network & Graph Framework Integration: Three Phase Inverter Case Study

15. Diagnosis of Autism Spectrum Disorder (ASD) Using Recursive Feature Elimination–Graph Neural Network (RFE–GNN) and Phenotypic Feature Extractor (PFE).

17. Predicting systemic risk in financial systems using Deep Graph Learning

18. Comprehensive Mapping of Continuous/Switching Circuits in CCM and DCM to Machine Learning Domain Using Homogeneous Graph Neural Networks

19. Contrastive Graph Learning with Graph Convolutional Networks

20. Diagnosis of Autism Spectrum Disorder (ASD) Using Recursive Feature Elimination–Graph Neural Network (RFE–GNN) and Phenotypic Feature Extractor (PFE)

21. Multirelational Tensor Graph Attention Networks for Knowledge Fusion in Smart Enterprise Systems.

22. Generating Explanations for Conceptual Validation of Graph Neural Networks: An Investigation of Symbolic Predicates Learned on Relevance-Ranked Sub-Graphs.

23. Dynamic spectrum access for Internet-of-Things with joint GNN and DQN.

24. Graph Embedding Models: A Survey

25. A Deep Learning Approach Using Graph Neural Networks for Anomaly Detection in Air Quality Data Considering Spatiotemporal Correlations

26. Research Progress of Adversarial Defenses on Graphs

27. Neural extraction of multiscale essential structure for network dismantling.

28. Cross-media video event mining based on attention graph structure learning.

29. Editorial: Graph learning for brain imaging

30. A Recommender for Research Collaborators Using Graph Neural Networks

31. TodyNet: Temporal dynamic graph neural network for multivariate time series classification.

32. Information-based Gradient enhanced Causal Learning Graph Neural Network for fault diagnosis of complex industrial processes.

33. A hyperspectral metal concentration inversion method using attention mechanism and graph neural network.

34. A Graph Neural Network-Based Digital Twin for Network Slicing Management.

35. Graph Neural Networks Using Local Descriptions in Attributed Graphs: An Application to Symbol Recognition and Hand Written Character Recognition

36. 图嵌入模型综述.

37. FASTGNN: A Topological Information Protected Federated Learning Approach for Traffic Speed Forecasting.

38. Additive Angular Margin Loss in Deep Graph Neural Network Classifier for Learning Graph Edit Distance

39. An SSVEP-based BCI with 112 targets using frequency spatial multiplexing.

40. Multi-IsnadSet MIS for Sahih Muslim Hadith with chain of narrators, based on multiple ISNAD.

41. Machine learning prediction of structural dynamic responses using graph neural networks.

42. BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation.

43. Uncovering hidden therapeutic indications through drug repurposing with graph neural networks and heterogeneous data.

44. Relation Representation Learning via Signed Graph Mutual Information Maximization for Trust Prediction

45. Comparison of molecular and structural features towards prediction of ionic liquid ionic conductivity for electrochemical applications.

46. Using Machine Learning to Improve Neutron Tagging Efficiency in Water Cherenkov Detectors

47. Traffic Prediction From Temporal Graphs Using Representation Learning

48. Trafikförutsägelse från dynamiska grafer genom representationsinlärning

49. Editorial: Graph learning for brain imaging.

50. A Recommender for Research Collaborators Using Graph Neural Networks.

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