Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings.
Gregory ScafartoMadalina CiortanSimon TihonQuentin FerrePublished in: CoRR (2023)
Keyphrases
- graph structure
- graph theory
- random walk
- graph model
- graph representation
- weighted graph
- unsupervised learning
- directed graph
- graph clustering
- semi supervised
- structured data
- stable set
- normalized cut
- manifold learning
- vector space
- connected components
- low dimensional
- graph mining
- distance measure
- graph databases
- graph partitioning
- probabilistic model
- graph theoretic
- graphical representation
- pairwise
- image segmentation
- agglomerative clustering
- data sets