Z-ENG: Graph Representation Learning

Félév: 2024-2025 ősz

Kategória: Nincs megadva

Téma leírása

The topic is available also in Hungarian

The goal of this project is to elaborate and evaluate algorithms that conduct representation learning for graphs. The task is to reduce the size of the graph while keeping the relevant structure in order to improve the performance of calculation techniques operating on the graph. In the frames of this project, the student will apply representation learning techniques to the graph and evaluate the performance of various algorithms.

Links:

• https://towardsdatascience.com/graph-representation-learning-network-embeddings-d1162625c52b

• https://par.nsf.gov/servlets/purl/10166440

• https://www.cs.mcgill.ca/~wlh/grl_book/files/GRL_Book.pdf

Maximális létszám: 6 fő