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Workshop
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Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study
Bach Nguyen · Truong Son Hy · Long Tran-Thanh · Nhung Nghiem
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Workshop
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Soil Organic Carbon Estimation from Climate-related Features with Graph Neural Network
Weiying Zhao · Nataliia Efremova
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Poster
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Thu 15:00
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Neural Algorithmic Reasoning Without Intermediate Supervision
Gleb Rodionov · Liudmila Prokhorenkova
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Poster
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Wed 15:00
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Simple and Asymmetric Graph Contrastive Learning without Augmentations
Teng Xiao · Huaisheng Zhu · Zhengyu Chen · Suhang Wang
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Poster
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Tue 15:15
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Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition
Divin Yan · Gengchen Wei · Chen Yang · Shengzhong Zhang · zengfeng Huang
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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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PowerGraph: A power grid benchmark dataset for graph neural networks
Anna Varbella · Kenza Amara · Blazhe Gjorgiev · Giovanni Sansavini
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Workshop
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Explaining Drug Repositioning: A Case-Based Reasoning Graph Neural Network Approach
Adriana Carolina Gonzalez Cavazos
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Workshop
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Bridging the Gap: Towards Flexible, Efficient, and Effective Tensor Product Networks
Nanxiang Wang · Chen Lin · Michael Bronstein · Philip Torr
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Workshop
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Explaining Drug Repositioning: A Case-Based Reasoning Graph Neural Network Approach
Adriana Carolina Gonzalez Cavazos
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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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