| Abstract Visual Reasoning Enabled by Language G Camposampiero, L Houmard, B Estermann, J Mathys, R Wattenhofer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |
| Traffic4cast at NeurIPS 2022–Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors M Neun, C Eichenberger, H Martin, M Spanring, R Siripurapu, D Springer, ... NeurIPS 2022 Competition Track, 251-278, 2022 | 7 | 2022 |
| SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning J Minder, F Grötschla, J Mathys, R Wattenhofer arXiv preprint arXiv:2309.12253, 2023 | 5 | 2023 |
| Learning Graph Algorithms With Recurrent Graph Neural Networks F Grötschla, J Mathys, R Wattenhofer arXiv preprint arXiv:2212.04934, 2022 | 2 | 2022 |
| Hierarchical Graph Structures for Congestion and ETA Prediction F Grötschla, J Mathys arXiv preprint arXiv:2211.11762, 2022 | 2 | 2022 |
| CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs F Grötschla, J Mathys, R Veres, R Wattenhofer arXiv preprint arXiv:2402.06706, 2024 | 1 | 2024 |
| GraphFSA: A Finite State Automaton Framework for Algorithmic Learning on Graphs F Grötschla, J Mathys, C Raun, R Wattenhofer arXiv preprint arXiv:2408.11042, 2024 | | 2024 |
| SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics S Künzli, F Grötschla, J Mathys, R Wattenhofer arXiv preprint arXiv:2310.20049, 2023 | | 2023 |
| Flood and Echo: Algorithmic Alignment of GNNs with Distributed Computing J Mathys, F Grötschla, KV Nadimpalli, R Wattenhofer arXiv preprint arXiv:2310.06970, 2023 | | 2023 |
| Decentralized Graph Processing for Reachability Queries J Mathys, R Fritsch, R Wattenhofer Advanced Data Mining and Applications: 18th International Conference, ADMA …, 2022 | | 2022 |
Roger WattenhoferETH Zurich在 ethz.ch 的电子邮件经过验证
