Detecting Android Malware Using Graph Neural Networks: A Comparison Between an Inductive and Transductive Learning Approach

Smit, P.G.A. (Priya)

LIACS Thesis Repository

These webpages contain theses and reports by students affiliated with the various bachelor and master programmes offered at the Leiden Institute of Advanced Computer Science (LIACS), the computer science and artificial intelligence department of Leiden University.

The following thesis was written by a student who graduated in 2025-2026 from the Bachelor Data Science and Artificial Intelligence programme at Leiden University.

Thesis details

Title	Detecting Android Malware Using Graph Neural Networks: A Comparison Between an Inductive and Transductive Learning Approach
Student	Smit, P.G.A. (Priya)
Programme	Bachelor Data Science and Artificial Intelligence
Year	2025-2026
Supervisors	Gadyatskaya, dr. O. (Olga) R. Li (second supervisor)
Thesis	Open Thesis PDF

Citation details

Smit, P.G.A. (Priya), Detecting Android Malware Using Graph Neural Networks: A Comparison Between an Inductive and Transductive Learning Approach, Thesis Bachelor Data Science and Artificial Intelligence, LIACS, Leiden University, 2026.