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Wed Jul 20 01:30 PM -- 01:35 PM (PDT) @ Ballroom 1 & 2
$p$-Laplacian Based Graph Neural Networks
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Wed Jul 20 01:35 PM -- 01:40 PM (PDT) @ Ballroom 1 & 2
Equivariant Quantum Graph Circuits
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Wed Jul 20 01:40 PM -- 01:45 PM (PDT) @ Ballroom 1 & 2
A Theoretical Comparison of Graph Neural Network Extensions
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Wed Jul 20 01:45 PM -- 01:50 PM (PDT) @ Ballroom 1 & 2
Variational On-the-Fly Personalization
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Wed Jul 20 01:50 PM -- 01:55 PM (PDT) @ Ballroom 1 & 2
Deep symbolic regression for recurrence prediction
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Wed Jul 20 01:55 PM -- 02:00 PM (PDT) @ Ballroom 1 & 2
Geometric Multimodal Contrastive Representation Learning
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Wed Jul 20 02:00 PM -- 02:05 PM (PDT) @ Ballroom 1 & 2
Universality of Winning Tickets: A Renormalization Group Perspective
Oral
Wed Jul 20 02:05 PM -- 02:25 PM (PDT) @ Ballroom 1 & 2
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition
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Wed Jul 20 02:25 PM -- 02:30 PM (PDT) @ Ballroom 1 & 2
Loss Function Learning for Domain Generalization by Implicit Gradient
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Wed Jul 20 02:30 PM -- 02:35 PM (PDT) @ Ballroom 1 & 2
GraphFM: Improving Large-Scale GNN Training via Feature Momentum
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Wed Jul 20 02:35 PM -- 02:40 PM (PDT) @ Ballroom 1 & 2
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling
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Wed Jul 20 02:40 PM -- 02:45 PM (PDT) @ Ballroom 1 & 2
A Differential Entropy Estimator for Training Neural Networks
Spotlight
Wed Jul 20 02:45 PM -- 02:50 PM (PDT) @ Ballroom 1 & 2
Scaling Out-of-Distribution Detection for Real-World Settings
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Wed Jul 20 02:50 PM -- 02:55 PM (PDT) @ Ballroom 1 & 2
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations
Spotlight
Wed Jul 20 02:55 PM -- 03:00 PM (PDT) @ Ballroom 1 & 2
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators