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Poster
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Wed 8:45
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Zero-One Laws of Graph Neural Networks
Sam Adam-Day · Iliant · Ismail Ceylan
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Poster
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Wed 15:00
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Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks
Ziyi Huang · Henry Lam · Haofeng Zhang
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Workshop
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On the Synergy Between Label Noise and Learning Rate Annealing in Neural Network Training
Stanley Wei · Tongzheng Ren · Simon Du
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Poster
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Wed 8:45
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Geometric Algebra Transformer
Johann Brehmer · Pim de Haan · Sönke Behrends · Taco Cohen
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Poster
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Wed 8:45
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What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding
Nicolas Keriven · Samuel Vaiter
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Workshop
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Sat 9:00
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Yulia Rubanova - Learning efficient and scalable simulation using graph networks.
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Workshop
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On the Temperature of Bayesian Graph Neural Networks for Conformal Prediction
Seohyeon Cha · Honggu Kang · Joonhyuk Kang
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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 9:25
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A Green Granular Convolutional Neural Network with Software-FPGA Co-designed Learning
Yanqing Zhang · Huaiyuan Chu
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Poster
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Thu 15:00
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A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks
Vignesh Kothapalli · Tom Tirer · Joan Bruna
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Workshop
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What’s in a Prior? Learned Proximal Networks for Inverse Problems
Zhenghan Fang · Sam Buchanan · Jeremias Sulam
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Workshop
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Spatial-Temporal DAG Convolutional Networks for End-to-End Joint Effective Connectivity Learning and Resting-State fMRI Classification
Rui Yang · Wenrui Dai · Huajun She · Yiping Du · Dapeng Wu · Hongkai Xiong
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