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GraphSAGE (Graph Based Neural Network) (keyword)

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book article

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

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

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