Poster
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Tue 9:00
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Equivariant Networks for Crystal Structures
Oumar Kaba · Siamak Ravanbakhsh
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Workshop
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Physically-primed deep-neural-networks for generalized undersampled MRI reconstruction
Nitzan Avidan · Moti Freiman
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Workshop
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Hyperbolic and Mixed Geometry Graph Neural Networks
Rishi Sonthalia · Xinyue Cui
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Affinity Workshop
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GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks
Kenza Amara · Rex Ying · Ce Zhang
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Workshop
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Flood Prediction with Graph Neural Networks
Arlei Silva · Arnold Kazadi · James Doss-Gollin · Antonia Sebastian
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Poster
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Wed 14:00
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AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier–Stokes Solutions
Florent Bonnet · Jocelyn Mazari · Paola Cinnella · Patrick Gallinari
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Workshop
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PolarMOT: How far can geometric relations take us in 3D multi-object tracking?
Aleksandr Kim · Guillem Braso · Aljosa Osep · Laura Leal-Taixé
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Workshop
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Interpretable Geometric Deep Learning via Learnable Randomness Injection
Siqi Miao · Yunan Luo · Mia Liu · Pan Li
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Poster
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Thu 9:00
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Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem?
Yimeng Min · Frederik Wenkel · Michael Perlmutter · Guy Wolf
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Workshop
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On the Unreasonable Effectiveness of Feature Propagation in Learning on Graphs with Missing Node Features
Emanuele Rossi · Henry Kenlay · Maria Gorinova · Benjamin Chamberlain · Xiaowen Dong · Michael Bronstein
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Workshop
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Benchmarking Graph Neural Network-based Imputation Methods on Single-Cell Transcriptomics Data
Han-Bo Li · Ramon Viñas Torné · Pietro Lió
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Workshop
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Sheaf Attention Networks
Federico Barbero · Cristian Bodnar · Haitz Sáez de Ocáriz Borde · Pietro Lió
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