GNNs and HOMP models saturate an extended manifold triangulation benchmark when given appropriate representations but show no generalization beyond combinatorial structure, indicating a gap in topology-aware learning.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.LG 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
The paper argues that the topological deep learning community should develop new benchmark datasets with native higher-order structure rather than continuing to lift graph datasets.
citing papers explorer
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No Triangulation Without Representation: Generalization in Topological Deep Learning
GNNs and HOMP models saturate an extended manifold triangulation benchmark when given appropriate representations but show no generalization beyond combinatorial structure, indicating a gap in topology-aware learning.
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Have Graph -- Will Lift? The Case for Higher-Order Benchmarks
The paper argues that the topological deep learning community should develop new benchmark datasets with native higher-order structure rather than continuing to lift graph datasets.