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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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Seotud publikatsioonid 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
Seotud publikatsioonid 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. artificial neural network
5. Binarized Neural Network (BNN)
6. cascaded forward neural network (CFNN)
7. Convolutional Neural Network
8. convolutional neural network (CNN)
9. deep convolutional neural network
10. deep neural network
11. deep neural network compression
12. feedforward neural network (FFNN)
13. graph-based algorithms
14. graph-based ranking
15. neural network
16. neural network architecture search
17. neural network controller
18. neural network predictive controller
19. Radial Basis Function Neural Network (RBFNN)
20. recurrent neural network language model
21. spiking neural network (SNN)
22. Ternary Neural Network
23. Adaptive network-based fuzzy inference system (ANFIS)
24. NetFlow based network monitoring
25. alpha graph
26. big graph analysis
27. binary graph
28. crossings in bipartite graph
29. cumulative graph
30. graph and tree search strategies
31. graph machine learning
32. Graph Modeling Language (GML)
33. graph processing
34. graph theory
35. knowledge graph
36. knowledge graph embeddings
37. Line Graph
38. personal health knowledge graph
39. Probabilistic Graph Model (PGM)
40. pseudo-graph
41. structural graph clustering
42. superpositional graph
43. Unbalanced graph

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