| Ordered subgraph aggregation networks C Qian, G Rattan, F Geerts, M Niepert, C Morris Advances in Neural Information Processing Systems 35, 21030-21045, 2022 | 83 | 2022 |
| Influence-based mini-batching for graph neural networks J Gasteiger, C Qian, S Günnemann Learning on Graphs Conference, 9: 1-9: 19, 2022 | 18 | 2022 |
| Exploring the power of graph neural networks in solving linear optimization problems C Qian, D Chételat, C Morris International Conference on Artificial Intelligence and Statistics, 1432-1440, 2024 | 17 | 2024 |
| Probabilistically Rewired Message-Passing Neural Networks C Qian, A Manolache, K Ahmed, Z Zeng, GV Broeck, M Niepert, C Morris International Conference on Learning Representations (ICLR) 2024, 2023 | 17 | 2023 |
| Probabilistic graph rewiring via virtual nodes C Qian, A Manolache, C Morris, M Niepert Advances in Neural Information Processing Systems 37, 28359-28392, 2025 | 5 | 2025 |
| Probabilistic Task-Adaptive Graph Rewiring C Qian, A Manolache, K Ahmed, Z Zeng, G Van den Broeck, M Niepert, ... ICML 2023 Workshop on Differentiable Almost Everything, 2023 | 3 | 2023 |
| Advancing Federated Learning in 6G: A Trusted Architecture with Graph-based Analysis W Ye, C Qian, X An, X Yan, G Carle GLOBECOM 2023-2023 IEEE Global Communications Conference, 56-61, 2023 | 2 | 2023 |
| Towards graph neural networks for provably solving convex optimization problems C Qian, C Morris arXiv preprint arXiv:2502.02446, 2025 | | 2025 |
Christopher MorrisRWTH Aachen UniversityGeverifieerd e-mailadres voor cs.rwth-aachen.de