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

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