Survey on graph embeddings and their applications to machine learning problems on graphs.
Ilya MakarovDmitrii KiselevNikita NikitinskyLovro SubeljPublished in: PeerJ Comput. Sci. (2021)
Keyphrases
- learning problems
- graph representation
- graph theory
- graph structure
- graph databases
- graph matching
- directed graph
- learning tasks
- weighted graph
- graph mining
- learning machines
- graph data
- machine learning algorithms
- supervised learning
- kernel methods
- learning algorithm
- undirected graph
- pac learning
- sample complexity
- reinforcement learning
- machine learning
- vector space
- semi supervised learning
- transfer learning
- multiple kernel learning
- computational learning theory
- multi task
- knn
- active learning
- pairwise
- image segmentation
- data sets