HeNCler: Node Clustering in Heterophilous Graphs through Learned Asymmetric Similarity.
Sonny AchtenFrancesco ToninVolkan CevherJohan A. K. SuykensPublished in: CoRR (2024)
Keyphrases
- similarity function
- graph theoretic
- graph clustering
- clustering algorithm
- directed graph
- graph structure
- graph partitioning
- similarity measure
- distance metric
- maximum common subgraph
- similarity calculation
- clustering method
- cosine similarity
- data clustering
- normalized cut
- spectral clustering
- k means
- unsupervised manner
- web sessions
- finding the shortest path
- similarity matrix
- content similarity
- distance function
- weighted graph
- semantic similarity
- similarity assessment
- hierarchical clustering
- data points
- multidimensional scaling
- euclidean distance
- measuring similarity
- similarity graph
- similarity computation
- cluster analysis
- graph construction
- similar objects
- similarity metric
- high dimensional data
- fuzzy clustering
- tree structure
- unsupervised learning
- intra cluster
- cluster validation
- graph theory
- data objects
- social networks