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Workshop
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Sun 16:30
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Is Expressivity Essential for the Predictive Performance of Graph Neural Networks?
Fabian Jogl · Pascal Welke · Thomas Gärtner
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Poster
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GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction
Shijin Duan · Ruyi Ding · Jiaxing He · Aidong Ding · Yunsi Fei · Xiaolin Xu
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Poster
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Thu 16:30
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Faster Local Solvers for Graph Diffusion Equations
Jiahe Bai · Baojian Zhou · Deqing Yang · Yanghua Xiao
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Poster
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Fri 11:00
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Almost Surely Asymptotically Constant Graph Neural Networks
Sam Adam-Day · Michael Benedikt · Ismail Ceylan · Ben Finkelshtein
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Poster
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Wed 11:00
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EGonc : Energy-based Open-Set Node Classification with substitute Unknowns
Qin Zhang · Zelin Shi · Shirui Pan · Junyang Chen · Huisi Wu · Xiaojun Chen
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Workshop
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RNAgrail: graph neural network and diffusion model for RNA 3D structure prediction
Marek Justyna
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Workshop
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Regional Ocean Forecasting with Hierarchical Graph Neural Networks
Daniel Holmberg · Emanuela Clementi · Teemu Roos
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Poster
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Thu 16:30
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PowerGraph: A power grid benchmark dataset for graph neural networks
Anna Varbella · Kenza Amara · Blazhe Gjorgiev · Mennatallah El-Assady · Giovanni Sansavini
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Poster
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Wed 16:30
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Robust Graph Neural Networks via Unbiased Aggregation
Zhichao Hou · Ruiqi Feng · Tyler Derr · Xiaorui Liu
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Workshop
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Enhancing the Expressivity of Temporal Graph Networks through Source-Target Identification
Benedict Aaron Tjandra · Federico Barbero · Michael Bronstein
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Poster
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Wed 11:00
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Deep Homomorphism Networks
Takanori Maehara · Hoang NT
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Affinity Event
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Graph Neural Network-Enhanced Multi-Task Learning for Menstrual Disorder Prediction Using Multi-Omics Data
Comfort Adesina
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