Searching - TalTech Research Portal

Publications
Profiles
Research Groups
Indexes
Help and information
Eesti keeles

Research Groups

Help and information

Searching

GraphSAGE (Graph Based Neural Network) (keyword)

—

—

—

—

Add criteria Advanced search filter

Clear

types of item

book ..

journal article ..

newspaper article ..

book article ..

dissertation ..

Open Access ..

Scientific publications ..

year

year of publication

Loading..

Loading..

TalTech department

Loading..

Loading..

Loading..

name of the person

Loading..

Loading..

Clear

Number of records 2
Look more.. (1/53)
Export

export all inquiry results (2)
Save TXT fail

Save PDF fail

print
Open for editing with marked entries my bookmarks

display

sort
1

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

match

sort

Otsing
Valikud 0

year of publication

author

TalTech department

subject term

series

name of the person

keyword

TalTech Library

Akadeemia tee 1

13519

TalTech homepage TalTech Library homepage Digital Collection of TalTech Library Digiteek Repository

6203551

data@taltech.ee

TalTech Raamatukogu