SUPR
Postdoc on Graph Neural Networks
Dnr:

NAISS 2024/22-599

Type:

NAISS Small Compute

Principal Investigator:

Roman Bresson

Affiliation:

Kungliga Tekniska högskolan

Start Date:

2024-08-09

End Date:

2025-09-01

Primary Classification:

10201: Computer Sciences

Webpage:

Allocation

Abstract

I currently work as a postdoc at KTH, studying graph generating models, in particular through multimodal representation of text and graph data, broadening the bridge between LLMs and GNNs, primarily for biomedical applications. My current work aims at comparing different methods for GNNs aggregation function, in particular regarding hierarchical representation and the use of Kolmogorov-Arnold networks.