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

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