2024 Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems Chendi Qian, Didier Chételat, and Christopher Morris In Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, 2024 HTML PDF Probabilistic Graph Rewiring via Virtual Nodes Chendi Qian, Andrei Manolache, Christopher Morris, and 1 more author 2024 Bib HTML @misc{qian2024probabilistic, title = {Probabilistic Graph Rewiring via Virtual Nodes}, author = {Qian, Chendi and Manolache, Andrei and Morris, Christopher and Niepert, Mathias}, year = {2024}, eprint = {2405.17311}, archiveprefix = {arXiv}, } 2023 Probabilistically Rewired Message-Passing Neural Networks Chendi Qian, Andrei Manolache, Kareem Ahmed, and 4 more authors 2023 Bib HTML @misc{qian2023probabilistically, title = {Probabilistically Rewired Message-Passing Neural Networks}, author = {Qian, Chendi and Manolache, Andrei and Ahmed, Kareem and Zeng, Zhe and Van den Broeck, Guy and Niepert, Mathias and Morris, Christopher}, journal = {arXiv preprint arXiv:2310.02156}, year = {2023}, } Probabilistic Task-Adaptive Graph Rewiring Chendi Qian, Andrei Manolache, Kareem Ahmed, and 4 more authors In ICML 2023 Workshop on Differentiable Almost Everything: Differentiable Relaxations, Algorithms, Operators, and Simulators, 2023 Bib HTML PDF @inproceedings{qian2023probabilistic, title = {Probabilistic Task-Adaptive Graph Rewiring}, author = {Qian, Chendi and Manolache, Andrei and Ahmed, Kareem and Zeng, Zhe and Van den Broeck, Guy and Niepert, Mathias and Morris, Christopher}, booktitle = {ICML 2023 Workshop on Differentiable Almost Everything: Differentiable Relaxations, Algorithms, Operators, and Simulators}, year = {2023}, } Advancing Federated Learning in 6G: A Trusted Architecture with Graph-based Analysis Wenxuan Ye, Chendi Qian, Xueli An, and 2 more authors In GLOBECOM 2023-2023 IEEE Global Communications Conference, 2023 Bib HTML @inproceedings{ye2023advancing, title = {Advancing Federated Learning in 6G: A Trusted Architecture with Graph-based Analysis}, author = {Ye, Wenxuan and Qian, Chendi and An, Xueli and Yan, Xueqiang and Carle, Georg}, booktitle = {GLOBECOM 2023-2023 IEEE Global Communications Conference}, pages = {56--61}, year = {2023}, organization = {IEEE}, } 2022 Ordered subgraph aggregation networks Chendi Qian, Gaurav Rattan, Floris Geerts, and 2 more authors Advances in Neural Information Processing Systems, 2022 Bib HTML @article{qian2022ordered, title = {Ordered subgraph aggregation networks}, author = {Qian, Chendi and Rattan, Gaurav and Geerts, Floris and Niepert, Mathias and Morris, Christopher}, journal = {Advances in Neural Information Processing Systems}, volume = {35}, pages = {21030--21045}, year = {2022}, } Influence-based mini-batching for graph neural networks Johannes Gasteiger, Chendi Qian, and Stephan Günnemann In Learning on Graphs Conference, 2022 Bib HTML @inproceedings{gasteiger2022influence, title = {Influence-based mini-batching for graph neural networks}, author = {Gasteiger, Johannes and Qian, Chendi and G{\"u}nnemann, Stephan}, booktitle = {Learning on Graphs Conference}, pages = {9--1}, year = {2022}, organization = {PMLR}, }