An Overview of Supply Chain Management for Sustainable world by Graph Neural Network

Authors

  • Leo Anto T A St. Francis de Sales College (Autonomous), Electronic City, Bangalore, India
  • R Shanmugapriya St. Francis de Sales College(Autonomous), Electronics City, Bangalore - 560100

DOI:

https://doi.org/10.59461/ijitra.v4i1.147

Keywords:

Graphs, Neural Networks, Asset Management, Supply Chain Management

Abstract

In the recent years, there are so many challenges like, increasing the demand of customers, ever growing competition, ageing infrastructure and so on. Asset Management is a critical process which includes so many complexities like finance, transportation, effective decision making and alike. There is significant role of graph neural networks in the field, life cycle of Asset Management. In this paper, we initiate to give a comprehensive review of the application of graph neural network in the life cycle delivery of Asset Management.

Author Biography

Leo Anto T A, St. Francis de Sales College (Autonomous), Electronic City, Bangalore, India

Leo Anto T A is a passionate mathematician with a strong academic background, having completed his Bachelor’s in Mathematics from Calicut University. He pursued his Master of Science in Mathematics from St. Francis de Sales College under Bangalore University.

Leo has contributed to the field of mathematics through published work on graph theory. With a deep interest in teaching, he currently works as a JEE tutor, helping students understand complex mathematical concepts. Leo’s dedication to both research and teaching continues to inspire students and peers in the world of mathematics. He can be reached on leoanto2bscrb@gmail.com

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Published

2025-03-29

How to Cite

Leo Anto T A, & R Shanmugapriya. (2025). An Overview of Supply Chain Management for Sustainable world by Graph Neural Network. International Journal of Information Technology, Research and Applications, 4(1), 23–29. https://doi.org/10.59461/ijitra.v4i1.147

Issue

Section

Regular Issue