Available Theses & Labs |
| Title | Type | Contact/Supervisor | Assigned |
|---|
 | Distributed and Federated Reinforcement Learning (3) | M/S | Xiaofeng Flint Fan,
Florian Grötschla | available |
Current Theses & Labs |
| Title | Type | Contact/Supervisor | Assigned | Student(s) |
|---|
 | Algorithmic Problems for GNNs | B | Joël Mathys,
Florian Grötschla | FS 23 | |
 | Asynchronous GNNs | G | Joël Mathys,
Florian Grötschla | FS 23 | |
 | Bring Your Own Idea: Music, Artists, and Graphs | S | Luca Lanzendörfer,
Florian Grötschla | FS 23 | |
 | CLRS - Understanding GNNs through Algorithms | M | Joël Mathys,
Florian Grötschla | FS 23 | |
 | Recurrent Graph Transformers for Algorithmic Problems | S | Florian Grötschla,
Joël Mathys | FS 23 | |
 | Simulation of Physical Systems with GNNs | B | Florian Grötschla,
Joël Mathys | FS 23 | |
 | Challenging Code Search Models through Semantic Attacks | S | Peter Belcák,
Florian Grötschla | HS 22 | |
 | Code Completion Through Graph Representations | S | Peter Belcák,
Florian Grötschla | HS 22 | |
Past Theses & Labs |
| Title | Type | Contact/Supervisor | Assigned | Student(s) |
|---|
 | Bitcoin Lightning Network Statistics and On-Chain Analysis [confidential] | B | Florian Grötschla,
Lioba Heimbach | HS 22 | |
 | Challenging the Lexical Focus of Code Search [confidential] | S | Peter Belcák,
Florian Grötschla | HS 22 | |
 | Decentralized Federated Policy Gradient with Provably Fast Convergence and Byzantine Fault Tolerance [confidential] | S | Xiaofeng Flint Fan,
Florian Grötschla | HS 22 | |
 | Efficient Graph Drawing with GNNs using Overlay Graphs [confidential] | B | Florian Grötschla,
Joël Mathys | HS 22 | |
 | Exploring Graph Neural Networks and Hierarchical Structures for Traffic Forecasting | B | Joël Mathys,
Florian Grötschla | HS 22 | |
 | SSA Data Flow Information for Semantic Code Tasks [confidential] | B | Peter Belcák,
Florian Grötschla | FS 22 | |
 | Inconvenient Data Sets for Graph Neural Networks [confidential] | B | Béni Egressy,
Florian Grötschla | FS 22 | |
 | Unreasonable Effectiveness of Edge Features: Formalization and Applications of Edge Pre-coloring in Color Refinement [confidential] | S | Béni Egressy,
Florian Grötschla | FS 22 | |
| Algorithm Learning from Data | B | Peter Belcák,
Florian Grötschla | FS 22 | |
 | Benchmarking Graph Neural Network Models [confidential] | S | Béni Egressy,
Florian Grötschla | FS 22 | |
