| Ordered subgraph aggregation networks C Qian, G Rattan, F Geerts, M Niepert, C Morris Advances in Neural Information Processing Systems 35, 21030-21045, 2022 | 57 | 2022 |
| Influence-based mini-batching for graph neural networks J Gasteiger, C Qian, S Günnemann Learning on Graphs Conference, 9: 1-9: 19, 2022 | 13 | 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 | 9 | 2024 |
| Probabilistically Rewired Message-Passing Neural Networks C Qian, A Manolache, K Ahmed, Z Zeng, GV Broeck, M Niepert, C Morris arXiv preprint arXiv:2310.02156, 2023 | 5 | 2023 |
| Probabilistic Graph Rewiring via Virtual Nodes C Qian, A Manolache, C Morris, M Niepert arXiv preprint arXiv:2405.17311, 2024 | 1 | 2024 |
| 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 | 1 | 2023 |
| 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 | 1 | 2023 |
Christopher MorrisRWTH Aachen UniversityVerified email at cs.rwth-aachen.de
