Graph Sanitation with Application to Node Classification
Zhe Xu, Boxin Du, Hanghang Tong
Abstract
The past decades have witnessed the prosperity of graph mining, with a multitude of sophisticated models and algorithms designed for various mining tasks, such as ranking, classification, clustering and anomaly detection. Generally speaking, the vast majority of the existing works aim to answer the following question, that is, given a graph, what is the best way to mine it?
Topics & Concepts
Computer scienceMultitudeCluster analysisGraphData miningAnomaly detectionProsperityData scienceMachine learningTheoretical computer sciencePhilosophyEpistemologyPolitical scienceLawAdvanced Graph Neural NetworksGraph Theory and AlgorithmsComplex Network Analysis Techniques