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2020 – today
- 2024
[c5]Chendi Qian, Didier Chételat, Christopher Morris:
Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems. AISTATS 2024: 1432-1440- [c4]Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris:
Probabilistically Rewired Message-Passing Neural Networks. ICLR 2024 - [i6]Chendi Qian, Andrei Manolache, Christopher Morris, Mathias Niepert
:
Probabilistic Graph Rewiring via Virtual Nodes. CoRR abs/2405.17311 (2024) - 2023
- [c3]Wenxuan Ye, Chendi Qian, Xueli An, Xueqiang Yan, Georg Carle:
Advancing Federated Learning in 6G: A Trusted Architecture with Graph-Based Analysis. GLOBECOM 2023: 56-61 - [i5]Wenxuan Ye, Chendi Qian, Xueli An, Xueqiang Yan, Georg Carle:
Advancing Federated Learning in 6G: A Trusted Architecture with Graph-based Analysis. CoRR abs/2309.05525 (2023) - [i4]Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris:
Probabilistically Rewired Message-Passing Neural Networks. CoRR abs/2310.02156 (2023) - [i3]Chendi Qian, Didier Chételat, Christopher Morris:
Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems. CoRR abs/2310.10603 (2023) - 2022
- [c2]Johannes Gasteiger, Chendi Qian, Stephan Günnemann:
Influence-Based Mini-Batching for Graph Neural Networks. LoG 2022: 9 - [c1]Chendi Qian, Gaurav Rattan, Floris Geerts, Mathias Niepert, Christopher Morris:
Ordered Subgraph Aggregation Networks. NeurIPS 2022 - [i2]Chendi Qian, Gaurav Rattan, Floris Geerts, Christopher Morris, Mathias Niepert:
Ordered Subgraph Aggregation Networks. CoRR abs/2206.11168 (2022) - [i1]Johannes Gasteiger, Chendi Qian, Stephan Günnemann:
Influence-Based Mini-Batching for Graph Neural Networks. CoRR abs/2212.09083 (2022)
Coauthor Index
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