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}, } Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems Chendi Qian, Didier Chételat, and Christopher Morris arXiv preprint arXiv:2310.10603, 2023 Bib HTML @article{qian2023exploring, title = {Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems}, author = {Qian, Chendi and Ch{\'e}telat, Didier and Morris, Christopher}, journal = {arXiv preprint arXiv:2310.10603}, 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 arXiv preprint arXiv:2309.05525, 2023 Bib HTML @article{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}, journal = {arXiv preprint arXiv:2309.05525}, year = {2023}, } 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}, }