Learning Genomic Sequence Representations using Graph Neural Networks over De Bruijn Graphs.
Kacper KapusniakManuel BurgerGunnar RätschAmir JoudakiPublished in: CoRR (2023)
Keyphrases
- neural network
- graph structure
- graph theory
- learning algorithm
- graph theoretic
- graph representation
- learning process
- bipartite graph
- graph mining
- neural nets
- graph matching
- reinforcement learning
- random walk
- weighted graph
- semi supervised
- artificial neural networks
- graph kernels
- graph theoretical
- graph representations