ICLR 2026 - Submissions

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Submissions

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Quantity AI Content Count Avg Rating
0-10% 1 (100%) 2.00
10-30% 0 (0%) N/A
30-50% 0 (0%) N/A
50-70% 0 (0%) N/A
70-90% 0 (0%) N/A
90-100% 0 (0%) N/A
Total 1 (100%) 2.00
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
PCA Feature Alignment is Sufficient for Building Graph Foundation Models Graph foundation models (GFMs) aim to pretrain graph neural networks (GNNs) that can generalize to new graph datasets in a zero-shot manner, requiring little or no additional training. This goal is ch... 2.00 0% See Reviews View AI Dashboard
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