Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation.
Edoardo D'AmicoAonghus LawlorNeil HurleyPublished in: PAKDD (3) (2023)
Keyphrases
- spectral graph
- theoretic framework
- graph partitioning
- spectral graph partitioning
- multiscale
- similarity matrix
- image processing
- weighted graph
- vector space
- pairwise
- information retrieval
- high dimensional data
- information theoretic
- random walk
- dimensionality reduction
- long tail
- partitioning algorithm
- similarity measure