Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings.
Gregory ScafartoMadalina CiortanSimon TihonQuentin FerrePublished in: ACML (2023)
Keyphrases
- graph representation
- random walk
- graph theory
- directed acyclic graph
- semi supervised
- unsupervised learning
- directed graph
- graph structure
- agglomerative clustering
- normalized cut
- graph partitioning
- graph model
- stable set
- graph search
- graph construction
- vector space
- nearest neighbor
- weighted graph
- euclidean space
- dimensionality reduction
- graph theoretic
- data points
- similarity measure
- machine learning
- graph based algorithm
- neural network