AATRN Networks Seminar, February 3 at 5pm CET by Manuel Lecha

[Henri Riihimäki]

Dear AATRN Networks Seminar members,

Our next online seminar will be on Tuesday, 3rd of February, at 5pm CET / 11am Eastern Time.

Speaker: Manuel Lecha

Title: Learning with Directed Higher-Order Structure: Applications to Brain Stimulus Classification

Abstract: Graph Neural Networks learn representations from graph-structured data by exploiting relational and locality-based inductive biases, with successful applications in chemistry, social networks, and neuroscience. Beyond pairwise interactions, higher-order learning frameworks leverage richer adjacency structures induced by higher-order constructions—such as simplicial or cell complexes—to propagate information over signals supported on higher-order entities. In this talk, we focus on directed higher-order structures to design more expressive inductive biases for neural architectures. Since neural systems exhibit inherently directional and higher-order interaction patterns arising from asymmetric synaptic transmission and co-activation dynamics, directed topological message passing provides a principled framework for effective brain stimulus classification. 

We will meet in the following coordinates:

https://stockholmuniversity.zoom.us/j/65622268279?pwd=YUsxeGNEeEFKRDFsaTRzRzh2VVMzQT09

Meeting ID: 656 2226 8279

Passcode: 557173

Our seminar usually occurs on the first Tuesday of every month, and you can follow our future planned list of speakers on our website sites.google.com/view/aatrn-networks-seminar.

You may also be interested in adding AATRN’s Google calendar (link), which contains other seminar information.

Best,

The AATRN Networks Seminar organizers

Daniela Egas Santander, Henri Riihimäki, Jason Smith

https://www.youtube.com/@aatrn1