Unsupervised Identification of Abnormal Nodes and Edges in Graphs.
Subudhi Asara SenaratnePeter ChristenGraham J. WilliamsPouya Ghiasnezhad OmranPublished in: ACM J. Data Inf. Qual. (2023)
Keyphrases
- directed graph
- undirected graph
- weighted graph
- real world graphs
- edge weights
- nodes of a graph
- spanning tree
- massive graphs
- graph structure
- graph mining
- directed edges
- random walk
- connected components
- adjacency matrix
- graph structures
- shortest path
- unsupervised learning
- graph clustering
- supervised learning
- random graphs
- approximation algorithms
- community detection
- link prediction
- complex networks
- real world networks
- directed acyclic graph
- graph theoretic
- anomaly detection
- small world
- power law
- graph theory
- unsupervised manner
- semi supervised
- planar graphs
- attributed graphs
- vertex set
- graph matching
- densely connected
- edge detector
- data objects