4 Nov 2023
Delft University of Technology
- Research Field
Computer science » Other
- Researcher Profile
First Stage Researcher (R1)
- Application Deadline
10 Dec 2023 - 00:00 (UTC)
- Type of Contract
To be defined
- Job Status
- Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme
- Is the Job related to staff position within a Research Infrastructure?
Graph machine learning (Graph ML) is an emerging field of artificial intelligence (AI) motivated by the ubiquity of graph-structured data in real-world applications.
A key objective of this project is to analyse the trade-offs between combinatorial and neural-network-based approaches in the Graph ML space. We aim to explore an unexplored design space, where GNNs and combinatorial algorithms can be combined based on linear-algebra-based primitives, leading to more efficient solutions.
The project will cover some real-world applications of Graph ML in the financial space, including analysis of financial transaction networks to detect criminal activities such as money laundering. In this area, we will explore new ways of combining GNNs and Large Language Models (LLMs) to construct machine learning solutions that can operate on graph-structured data with multimodal node and edge features.
- Website for additional job details
- Number of offers available
- Delft University of Technology
- TU Delft
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