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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
2

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

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