Ingredient Embeddings Constructed by Biased Random Walk on Ingredient-Compound Graph.
Naoki YoshimaruKazuma KusuYusuke KimuraKenji HatanoPublished in: KES (2023)
Keyphrases
- random walk
- directed graph
- markov chain
- flow graph
- graph laplacian
- transition probability matrix
- vector space
- markov random walk
- web graph
- multi db
- random walker
- spectral methods
- average degree
- hyper graph
- transition probabilities
- dimensionality reduction
- graph structure
- manifold learning
- nodes of a graph
- spectral graph partitioning