Distance metric learning using graph convolutional networks: Application to functional brain networks
Evaluating similarity between graphs is of major importance in several computer vision and
pattern recognition problems, where graph representations are often used to model objects …
pattern recognition problems, where graph representations are often used to model objects …
[PDF][PDF] Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks
SI Ktena, S Parisot, E Ferrante, M Rajchl… - arXiv preprint arXiv …, 2017 - researchgate.net
Evaluating similarity between graphs is of major importance in several computer vision and
pattern recognition problems, where graph representations are often used to model objects …
pattern recognition problems, where graph representations are often used to model objects …
Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks
SI Ktena, S Parisot, E Ferrante, M Rajchl… - arXiv e …, 2017 - ui.adsabs.harvard.edu
Evaluating similarity between graphs is of major importance in several computer vision and
pattern recognition problems, where graph representations are often used to model objects …
pattern recognition problems, where graph representations are often used to model objects …
Distance Metric Learning Using Graph Convolutional Networks: Application to Functional Brain Networks
SI Ktena, S Parisot, E Ferrante, M Rajchl… - … Conference on Medical …, 2017 - dl.acm.org
Evaluating similarity between graphs is of major importance in several computer vision and
pattern recognition problems, where graph representations are often used to model objects …
pattern recognition problems, where graph representations are often used to model objects …
Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks
SI Ktena, S Parisot, E Ferrante, M Rajchl, M Lee… - arXiv preprint arXiv …, 2017 - arxiv.org
Evaluating similarity between graphs is of major importance in several computer vision and
pattern recognition problems, where graph representations are often used to model objects …
pattern recognition problems, where graph representations are often used to model objects …
[PDF][PDF] Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks
SI Ktena, S Parisot, E Ferrante, M Rajchl, M Lee… - doc.ic.ac.uk
Evaluating similarity between graphs is of major importance in several computer vision and
pattern recognition problems, where graph representations are often used to model objects …
pattern recognition problems, where graph representations are often used to model objects …