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GraphSAGE (Graph Based Neural Network) (keyword)

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Composing graph theory and deep neural networks to evaluate SEU type soft error effectsBalakrishnan, Aneesh; Lange, Thomas; Glorieux, Maximilien; Alexandrescu, Dan; Jenihhin, Maksim9th Mediterranean Conference on Embedded Computing (MECO'2020), Budva, Montenegro, 8-11 June 20202020 https://doi.org/10.1109/MECO49872.2020.9134279

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Related publications 1
- A synthetic, hierarchical approach for modelling and managing complex systems' quality and reliability = Sünteetiline, hierarhiline lähenemine keerukate süsteemide kvaliteedi ja töökindluse modelleerimiseks ja haldamiseks
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book article

Gate-level graph representation learning : a step towards the improved stuck-at faults analysisBalakrishnan, Aneesh; Alexandrescu, Dan; Jenihhin, Maksim; Lange, Thomas; Glorieux, MaximilienProceedings of the Twenty Second International Symposium on Quality Electronic Design (ISQED) : Santa Clara, USA, 7-9 April 20212021 / p. 24-30 https://doi.org/10.1109/ISQED51717.2021.9424256

book article
Related publications 1
- A synthetic, hierarchical approach for modelling and managing complex systems' quality and reliability = Sünteetiline, hierarhiline lähenemine keerukate süsteemide kvaliteedi ja töökindluse modelleerimiseks ja haldamiseks

Number of records 2, displaying 1 - 2

1. GraphSAGE (Graph Based Neural Network)
2. Graph Convolutional Neural Network (GCN)
3. linear Delta robots neural network based model
4. transformer-based neural network
5. graph neural networks
6. artificial neural network
7. back propagation neural network
8. Binarized Neural Network (BNN)
9. cascaded forward neural network (CFNN)
10. Convolutional Neural Network
11. convolutional neural network (CNN)
12. deep convolutional neural network
13. deep neural network
14. deep neural network compression
15. feedforward neural network (FFNN)
16. graph-based algorithms
17. graph-based ranking
18. LSTM neural network
19. neural network
20. neural network architecture search
21. neural network controller
22. neural network modelling
23. neural network models
24. neural network positioning algorithms
25. neural network predictive controller
26. Radial Basis Function Neural Network (RBFNN)
27. Recurrent Neural Network
28. recurrent neural network language model
29. Residual Neural Network
30. spiking neural network (SNN)
31. Ternary Neural Network
32. Adaptive network-based fuzzy inference system (ANFIS)
33. NetFlow based network monitoring
34. alpha graph
35. big graph analysis
36. binary graph
37. Boolean Algebra Meets Graph-Theory
38. crossings in bipartite graph
39. cumulative graph
40. graph and tree search strategies
41. graph attention networks
42. graph convolutional networks
43. graph Laplacian
44. graph machine learning
45. Graph Modeling Language (GML)
46. graph processing
47. graph theory
48. knowledge graph
49. knowledge graph embeddings
50. Line Graph
51. personal health knowledge graph
52. Probabilistic Graph Model (PGM)
53. pseudo-graph
54. structural graph clustering
55. superpositional graph
56. Unbalanced graph

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