Dimensionality Reduction Meets Message Passing for Graph Node Embeddings.
Krzysztof SadowskiMichal SzarmachEddie MattiaPublished in: CoRR (2022)
Keyphrases
- message passing
- dimensionality reduction
- singly connected
- graph structure
- belief propagation
- directed graph
- high dimensional data
- low dimensional
- distributed systems
- high dimensional
- manifold learning
- principal component analysis
- graphical models
- probabilistic inference
- shared memory
- markov random field
- feature extraction
- undirected graph
- sum product algorithm
- factor graphs
- approximate inference
- pattern recognition
- max product
- inference in graphical models
- distributed shared memory
- junction tree
- ldpc codes
- sum product
- machine learning
- feature space
- computer vision
- max flow
- stereo matching
- maximum likelihood