This course offers an introduction to algorithms in data science and
network analysis. A major goal is to design and analyze graph-based
algorithms in the context of learning, recommendation, visualization,
and representation. The course provides coding exercises on real-world
cases.
- Professor: Michaël Defferrard
- Professor: Pascal Frossard
- Professor: Pierre Vandergheynst
- Teacher: Eda Bayram
- Teacher: Rodrigo Cerqueira Gonzalez Pena
- Teacher: Hermina Petric Maretic
- Teacher: Benjamin Ricaud
- Teacher: Effrosyni Simou
