School of Architecture, Civil and Environmental EngineeringOpen OpportunitiesMany graphs in real-world applications are text-attributed graphs (TAG). Examples include the description of the condition of sensors and pipes and the water distribution network over the junctions, the posts on a social media platform and the following graph over the users, the text of academic articles and the citation network over these articles, among others. This project focuses on combining the power of graph neural networks (GNNs) and large language models (LLMs) to extract information from both the text modality and the graph modality to facilitate learning on TAGs in engineering applications. - Artificial Intelligence and Signal and Image Processing
- Master Thesis, Semester Project
| The project is a collaboration between EPFL IMOS Lab and Belimo exploring Deep Learning algorithms for commissioning parameters of Heating, Ventilation, and Air Conditioning systems - Engineering and Technology
- Master Thesis
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