Available Theses & Labs |
| Title | Type | Contact/Supervisor | Assigned |
|---|
 | Challenging Code Clone Detection Models | M/S | Peter Belcák,
Florian Grötschla | available |
Current Theses & Labs |
| Title | Type | Contact/Supervisor | Assigned | Student(s) |
|---|
 | Analysis of Bitcoin Lightning | B | Florian Grötschla,
Lioba Heimbach | HS 22 | |
 | Challenging Code Search Models through Semantic Attacks | S | Peter Belcák,
Florian Grötschla | HS 22 | |
 | Challenging the Lexical Focus of Code Search Models | S | Peter Belcák,
Florian Grötschla | HS 22 | |
 | Code Completion Through Graph Representations | S | Peter Belcák,
Florian Grötschla | HS 22 | |
 | Distributed and Federated Reinforcement Learning | S | Xiaofeng Flint Fan,
Florian Grötschla | HS 22 | |
 | Graph Drawing with Graph Neural Networks | B | Florian Grötschla,
Joël Mathys | HS 22 | |
 | Traffic4cast | B | Joël Mathys,
Florian Grötschla | HS 22 | |
Past Theses & Labs |
| Title | Type | Contact/Supervisor | Assigned | Student(s) |
|---|
 | 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 | |
