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DRew: Dynamically Rewired Message Passing with Delay


May 18, 2023
Benjamin Gutteridge, Xiaowen Dong, Michael Bronstein, Francesco Di Giovanni

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* Accepted at ICML 2023; 16 pages 

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Transductive Kernels for Gaussian Processes on Graphs


Nov 28, 2022
Yin-Cong Zhi, Felix L. Opolka, Yin Cheng Ng, Pietro Liò, Xiaowen Dong

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Learning Hypergraphs From Signals With Dual Smoothness Prior


Nov 03, 2022
Bohan Tang, Siheng Chen, Xiaowen Dong

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Unrolled Graph Learning for Multi-Agent Collaboration


Oct 31, 2022
Enpei Zhang, Shuo Tang, Xiaowen Dong, Siheng Chen, Yanfeng Wang

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Learning to Infer Structures of Network Games


Jun 16, 2022
Emanuele Rossi, Federico Monti, Yan Leng, Michael M. Bronstein, Xiaowen Dong

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Graph similarity learning for change-point detection in dynamic networks


Mar 29, 2022
Deborah Sulem, Henry Kenlay, Mihai Cucuringu, Xiaowen Dong

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* 33 pages, 21 figures, 5 tables 

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Local2Global: A distributed approach for scaling representation learning on graphs


Jan 12, 2022
Lucas G. S. Jeub, Giovanni Colavizza, Xiaowen Dong, Marya Bazzi, Mihai Cucuringu

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* 25 pages, 6 figures. arXiv admin note: substantial text overlap with arXiv:2107.12224 

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On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features


Dec 03, 2021
Emanuele Rossi, Henry Kenlay, Maria I. Gorinova, Benjamin Paul Chamberlain, Xiaowen Dong, Michael Bronstein

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Understanding over-squashing and bottlenecks on graphs via curvature


Nov 29, 2021
Jake Topping, Francesco Di Giovanni, Benjamin Paul Chamberlain, Xiaowen Dong, Michael M. Bronstein

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