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| | Preview | Author(s) | Title | Type | Issue Date |
| 41 |  | Lachi, Veronica ; Moallemy-Oureh, Alice ; Roth, Andreas ; Welke, Pascal | Graph Pooling Provably Improves Expressivity | Inproceedings Konferenzbeitrag    | 2023 |
| 42 |  | Maskey, Sohir ; Parviz, Ali ; Thiessen, Maximilian ; Stärk, Hannes ; Sadikaj, Ylli ; Maron, Haggai | Generalized Laplacian Positional Encoding for Graph Representation Learning | Presentation Vortrag | 3-Dec-2022 |
| 43 |  | Welke, Pascal ; Thiessen, Maximilian ; Gärtner, Thomas | Expectation Complete Graph Representations Using Graph Homomorphisms | Presentation Vortrag | 30-Nov-2022 |
| 44 | | Moskalev, Artem ; Sepliarskaia, Anna ; Sosnovik, Ivan ; Smeulders, Arnold | LieGG: Studying Learned Lie Group Generators | Inproceedings Konferenzbeitrag | 31-Oct-2022 |
| 45 |  | Bressan, Marco ; Cesa-Bianchi, Nicolò ; Lattanzi, Silvio ; Paudice, Andrea ; Thiessen, Maximilian | Active Learning of Classifiers with Label and Seed Queries | Inproceedings Konferenzbeitrag | 31-Oct-2022 |
| 46 | | Thiessen, Maximilian ; Pascal Welke ; Gärtner, Thomas | Expectation Complete Graph Representations using Graph Homomorphisms | Presentation Vortrag | 25-Oct-2022 |
| 47 |  | Thiessen, Maximilian ; Welke, Pascal ; Gärtner, Thomas | Expectation Complete Graph Representations Using Graph Homomorphisms | Presentation Vortrag | 21-Oct-2022 |
| 48 |  | Jogl, Fabian ; Thiessen, Maximilian ; Gärtner, Thomas | Weisfeiler and Leman Return with Graph Transformations | Inproceedings Konferenzbeitrag | 23-Sep-2022 |
| 49 | | Ganhör, Christian ; Penz, David ; Rekabsaz, Navid ; Lesota, Oleg ; Schedl, Markus | Unlearning Protected User Attributes in Recommendations with Adversarial Training | Inproceedings Konferenzbeitrag | Jul-2022 |
| 50 | | Melchiorre, Alessandro Benedetto ; Penz, David ; Ganhör, Christian ; Lesota, Oleg ; Fragoso, Vasco ; Friztl, Florian ; Parada-Cabaleiro, Emilia ; Schubert, Franz ; Schedl, Markus | EmoMTB: Emotion-aware Music Tower Blocks | Inproceedings Konferenzbeitrag | Jun-2022 |
| 51 | | Jogl, Fabian ; Thiessen, Maximilian ; Gärtner, Thomas | Reducing Learning on Cell Complexes to Graphs | Inproceedings Konferenzbeitrag | 29-Apr-2022 |
| 52 |  | Schmidt, Dominik | Dojo: A Benchmark for Large Scale Multi-Task Reinforcement Learning | Inproceedings Konferenzbeitrag | 24-Apr-2022 |
| 53 | | Schedl, Markus ; Brandl, Stefan ; Lesota, Oleg ; Parada-Cabaleiro, Emilia ; Penz, David ; Rekabsaz, Navid | LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis | Konferenzbeitrag Inproceedings | 2022 |
| 54 | | Thiessen, Maximilian ; Gärtner, Thomas | Online learning of convex sets on graphs | Inproceedings Konferenzbeitrag | 2022 |
| 55 | | Indri, Patrick ; Bartoli, Alberto ; Medvet, Eric ; Nenzi, Laura | One-Shot Learning of Ensembles of Temporal Logic Formulas for Anomaly Detection in Cyber-Physical Systems | Konferenzbeitrag Inproceedings | 2022 |
| 56 | | Haywood, Alexe L. ; Redshaw, Joseph ; Hanson-Heine, Magnus W. D. ; Taylor, Adam ; Brown, Alex ; Mason, Andrew M. ; Gärtner, Thomas ; Hirst, Jonathan D. | Kernel Methods for Predicting Yields of Chemical Reactions | Artikel Article | 2022 |
| 57 |  | Schmidt, Dominik ; Schmied, Thomas | Fast and Data-Efficient Training of Rainbow: an Experimental Study on Atari | Presentation Vortrag | 13-Dec-2021 |
| 58 |  | Thiessen, Maximilian ; Gärtner, Thomas | Active Learning Convex Halfspaces on Graphs | Inproceedings Konferenzbeitrag | 24-Jul-2021 |
| 59 | | Krauck, Alexander ; Penz, David ; Schedl, Markus | Team JKU-AIWarriors in the ACM Recommender Systems Challenge 2021: Lightweight XGBoost Recommendation Approach Leveraging User Features | Konferenzbeitrag Inproceedings | 2021 |
| 60 | | Thiessen, Maximilian ; Gärtner, Thomas | Active Learning of Convex Halfspaces on Graphs | Konferenzbeitrag Inproceedings | 2021 |
