Graph neural network: understanding and applications

Di Stefano, Francesco (A.A. 2023/2024) Graph neural network: understanding and applications. Tesi di Laurea in Machine learning, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 69. [Master's Degree Thesis]

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Abstract/Index

Key concepts. Graphs introduction. Artificial intelligence and deep learning. Task 1: link prediction. Task 2: image classification.

References

Bibliografia: p. 69.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91)
Chair: Machine learning
Thesis Supervisor: Italiano, Giuseppe Francesco
Thesis Co-Supervisor: Martino, Alessio
Academic Year: 2023/2024
Session: Summer
Deposited by: Alessandro Perfetti
Date Deposited: 07 Jan 2025 15:44
Last Modified: 07 Jan 2025 15:44
URI: https://tesi.luiss.it/id/eprint/40764

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