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Thu Jul 21 05:30 AM -- 05:35 AM (KST) @ Ballroom 1 & 2
$p$-Laplacian Based Graph Neural Networks
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Thu Jul 21 05:35 AM -- 05:40 AM (KST) @ Ballroom 1 & 2
Equivariant Quantum Graph Circuits
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Thu Jul 21 05:40 AM -- 05:45 AM (KST) @ Ballroom 1 & 2
A Theoretical Comparison of Graph Neural Network Extensions
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Thu Jul 21 05:45 AM -- 05:50 AM (KST) @ Ballroom 1 & 2
Variational On-the-Fly Personalization
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Thu Jul 21 05:50 AM -- 05:55 AM (KST) @ Ballroom 1 & 2
Deep symbolic regression for recurrence prediction
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Thu Jul 21 05:55 AM -- 06:00 AM (KST) @ Ballroom 1 & 2
Geometric Multimodal Contrastive Representation Learning
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Thu Jul 21 06:00 AM -- 06:05 AM (KST) @ Ballroom 1 & 2
Universality of Winning Tickets: A Renormalization Group Perspective
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Thu Jul 21 06:05 AM -- 06:25 AM (KST) @ Ballroom 1 & 2
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition
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Thu Jul 21 06:25 AM -- 06:30 AM (KST) @ Ballroom 1 & 2
Loss Function Learning for Domain Generalization by Implicit Gradient
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Thu Jul 21 06:30 AM -- 06:35 AM (KST) @ Ballroom 1 & 2
GraphFM: Improving Large-Scale GNN Training via Feature Momentum
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Thu Jul 21 06:35 AM -- 06:40 AM (KST) @ Ballroom 1 & 2
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling
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Thu Jul 21 06:40 AM -- 06:45 AM (KST) @ Ballroom 1 & 2
A Differential Entropy Estimator for Training Neural Networks
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Thu Jul 21 06:45 AM -- 06:50 AM (KST) @ Ballroom 1 & 2
Scaling Out-of-Distribution Detection for Real-World Settings
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Thu Jul 21 06:50 AM -- 06:55 AM (KST) @ Ballroom 1 & 2
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations
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Thu Jul 21 06:55 AM -- 07:00 AM (KST) @ Ballroom 1 & 2
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators
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