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Poster
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Thu 16:30
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Disentangled Multiplex Graph Representation Learning
Yujie Mo · Yajie Lei · Jialie SHEN · Xiaoshuang Shi · Heng Tao Shen · Xiaofeng Zhu
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Workshop
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The Local Inconsistency Resolution Algorithm
Oliver Richardson
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Workshop
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Learning Observation Models with Incremental Non-Differentiable Graph Optimizers in the Loop for Robotics State Estimation
Mohamad Qadri · Michael Kaess
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Poster
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Tue 17:00
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MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods
Ali Taghibakhshi · Nicolas Nytko · Tareq Uz Zaman · Scott MacLachlan · Luke Olson · Matthew West
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Workshop
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Navigating Graph Robust Learning against All-Intensity Attacks
Xiangchi Yuan · Chunhui Zhang · Yijun Tian · Chuxu Zhang
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Workshop
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Predicting Properties of Amorphous Solids with Graph Network Potentials
Muratahan Aykol · Jennifer Wei · Simon Batzner · Amil Merchant · Ekin Dogus Cubuk
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Workshop
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DynDepNet: Learning Time-Varying Dependency Structures from fMRI Data via Dynamic Graph Structure Learning
Alexander Campbell · Antonio Zippo · Luca Passamonti · Nicola Toschi · Pietro Lió
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Workshop
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DynDepNet: Learning Time-Varying Dependency Structures from fMRI Data via Dynamic Graph Structure Learning
Alexander Campbell · Antonio Zippo · Luca Passamonti · Nicola Toschi · Pietro Lió
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Workshop
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Learning the galaxy-environment connection with graph neural networks
John F. Wu · Christian Jespersen
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Poster
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Wed 17:00
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Fisher Information Embedding for Node and Graph Learning
Dexiong Chen · Paolo Pellizzoni · Karsten Borgwardt
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Poster
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Wed 17:00
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Subequivariant Graph Reinforcement Learning in 3D Environments
Runfa Chen · Jiaqi Han · Fuchun Sun · Wenbing Huang
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Oral
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Tue 21:02
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Subequivariant Graph Reinforcement Learning in 3D Environments
Runfa Chen · Jiaqi Han · Fuchun Sun · Wenbing Huang
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