Chendi Qian

According to our database, Chendi Qian authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Solving Max-Cut to Global Optimality via Feasibility-Preserving Graph Neural Networks.

Hao Chen, Chendi Qian, Christopher Morris, Andrea Lodi, Can Li

CoRR, May, 2026

On the Expressive Power of GNNs to Solve Linear SDPs.

Chendi Qian, Christopher Morris

CoRR, April, 2026

Learning to Approximate Uniform Facility Location via Graph Neural Networks.

Chendi Qian, Christopher Morris, Stefanie Jegelka, Christian Sohler

CoRR, February, 2026

GraIP: A Benchmarking Framework For Neural Graph Inverse Problems.

Semih Cantürk, Andrei Manolache, Arman Mielke, Chendi Qian, Antoine Siraudin, Christopher Morris, Mathias Niepert, Guy Wolf

CoRR, January, 2026

2025

GraphBench: Next-generation graph learning benchmarking.

Timo Stoll, Chendi Qian, Ben Finkelshtein, Ali Parviz, Darius Weber, Fabrizio Frasca, Hadar Shavit, Antoine Siraudin, Arman Mielke, Marie Anastacio, Erik Müller, Maya Bechler-Speicher, Michael M. Bronstein, Mikhail Galkin, Holger H. Hoos, Mathias Niepert, Bryan Perozzi, Jan Tönshoff, Christopher Morris

CoRR, December, 2025

Towards graph neural networks for provably solving convex optimization problems.

Chendi Qian, Christopher Morris

CoRR, February, 2025

Principled Data Augmentation for Learning to Solve Quadratic Programming Problems.

Chendi Qian, Christopher Morris

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Probabilistic Graph Rewiring via Virtual Nodes.

Chendi Qian, Andrei Manolache, Christopher Morris, Mathias Niepert

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Probabilistically Rewired Message-Passing Neural Networks.

Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems.

Chendi Qian, Didier Chételat, Christopher Morris

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Advancing Federated Learning in 6G: A Trusted Architecture with Graph-Based Analysis.

Wenxuan Ye, Chendi Qian, Xueli An, Xueqiang Yan, Georg Carle

Proceedings of the IEEE Global Communications Conference, 2023

2022

Ordered Subgraph Aggregation Networks.

Chendi Qian, Gaurav Rattan, Floris Geerts, Mathias Niepert, Christopher Morris

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Influence-Based Mini-Batching for Graph Neural Networks.

Johannes Gasteiger, Chendi Qian, Stephan Günnemann

Proceedings of the Learning on Graphs Conference, 2022