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Poster
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Thu 15:00
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Optimality of Message-Passing Architectures for Sparse Graphs
Aseem Baranwal · Kimon Fountoulakis · Aukosh Jagannath
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Workshop
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A Deep Learning Blueprint for Relational Databases
Lukáš Zahradník · Jan Neumann · Gustav Šír
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Poster
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Tue 15:15
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Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing
Jung Yeon Park · Lawson Wong · Robin Walters
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Workshop
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Sat 8:30
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Phase Retrieval via Deep Expectation-Consistent Approximation
Saurav Shastri · Philip Schniter
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Workshop
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Fri 9:10
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Message Passing Neural Network for Predicting Dipole Moment Dependent Core Electron Excitation Spectra
Kiyou Shibata · Teruyasu Mizoguchi
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Poster
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Wed 15:00
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GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search
Xiao Zang · Miao Yin · Jinqi Xiao · Saman Zonouz · Bo Yuan
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Workshop
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Sat 12:02
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Simulating the Air Quality Impact of Prescribed Fires Using a Graph Neural Network-Based PM2.5 Emissions Forecasting System
Kyleen Liao · Jatan Buch · Kara Lamb · Pierre Gentine
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Workshop
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Simulating the Air Quality Impact of Prescribed Fires Using a Graph Neural Network-Based PM2.5 Emissions Forecasting System
Kyleen Liao · Jatan Buch · Kara Lamb · Pierre Gentine
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Workshop
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Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization
Yinbin Han · Meisam Razaviyayn · Renyuan Xu
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Workshop
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Multiscale Neural Operators for Solving Time-Independent PDEs
Winfried Ripken · Lisa Coiffard · Felix Pieper · Sebastian Dziadzio
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Workshop
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Fri 8:50
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Accelerated Sampling of Rare Events using a Neural Network Bias Potential
Xinru Hua · Rasool Ahmad · Jose Blanchet · Wei Cai
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Workshop
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Fri 7:50
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Investigating extrapolation and low-data challenges via contrastive learning of chemical compositions
Federico Ottomano · Giovanni De Felice · Rahul Savani · Vladimir Gusev · Matthew Rosseinsky
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