APPLICATIONS OF GRAPH THEORY IN MACHINE LEARNING
DOI:
https://doi.org/10.48047/s0s5g998Keywords:
Graph Theory, Machine Learning, Graph-Based Representation, Graph Neural Networks, Graph Clustering, Link PredictionAbstract
Graph Theory is a branch of mathematics that deals with the study of relationships between different objects. Machine Learning (ML) is a major field of Artificial Intelligence that enables computers to learn patterns from data and make predictions or decisions. Applications of Graph Theory in Machine Learning include graph-based representation, clustering, classification, regression, link prediction, social-network analysis, anomaly detection, recommendation systems, and graph generation.
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