1. pr_mpnn.png
    Probabilistically Rewired Message-Passing Neural Networks
    Chendi Qian, Andrei Manolache, Kareem Ahmed, and 4 more authors
  2. ipmgnn.png
    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
  3. pr_workshop.jpg
    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
  4. fedgnn.png
    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


  1. osan.png
    Ordered subgraph aggregation networks
    Chendi Qian, Gaurav Rattan, Floris Geerts, and 2 more authors
    Advances in Neural Information Processing Systems, 2022
  2. ibmb.png
    Influence-based mini-batching for graph neural networks
    Johannes Gasteiger, Chendi Qian, and Stephan Günnemann
    In Learning on Graphs Conference, 2022