Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings.
Christopher MorrisGaurav RattanPetra MutzelPublished in: NeurIPS (2020)
Keyphrases
- higher order
- high order
- gaussian graphical models
- pairwise
- higher order relations
- graph representation
- natural images
- structured data
- graph model
- directed graph
- random walk
- graph databases
- high dimensional
- directed acyclic
- graph matching
- euclidean space
- low order
- sparse data
- graph theoretic
- weighted graph
- graph based algorithm
- manifold learning
- sparse representation
- low dimensional
- markov random field
- lower order
- face recognition
- graph structure
- graph construction
- graph mining
- input image
- probabilistic model
- conditional random fields
- dimensionality reduction