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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
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 modelling
20. neural network predictive controller
21. Radial Basis Function Neural Network (RBFNN)
22. recurrent neural network language model
23. spiking neural network (SNN)
24. Ternary Neural Network
25. Adaptive network-based fuzzy inference system (ANFIS)
26. NetFlow based network monitoring
27. alpha graph
28. big graph analysis
29. binary graph
30. Boolean Algebra Meets Graph-Theory
31. crossings in bipartite graph
32. cumulative graph
33. graph and tree search strategies
34. graph attention networks
35. graph convolutional networks
36. graph Laplacian
37. graph machine learning
38. Graph Modeling Language (GML)
39. graph processing
40. graph theory
41. knowledge graph
42. knowledge graph embeddings
43. Line Graph
44. personal health knowledge graph
45. Probabilistic Graph Model (PGM)
46. pseudo-graph
47. structural graph clustering
48. superpositional graph
49. Unbalanced graph

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