Short Paper: Graph Classification with Kernels, Embeddings and Convolutional Neural Networks.
Monica Golahalli SeenappaKaterina PotikaPetros PotikasPublished in: GC (2019)
Keyphrases
- graph classification
- convolutional neural networks
- vector space
- graph kernels
- semi supervised feature selection
- kernel function
- kernel methods
- structured data
- concept drift
- gaussian processes
- low dimensional
- feature selection
- kernel matrix
- euclidean space
- feature space
- distance measure
- support vector
- pattern mining
- kernel machines
- kernel learning
- graph data
- multiple kernel learning
- machine learning
- linear combination
- feature vectors
- high dimensional
- learning algorithm