Official implementation of "Differentiable Lifting for Topological Neural Networks." A general framework (∂lift) for end-to-end learning of graph liftings to hypergraphs, cellular complexes, and simplicial complexes.
deep-learning pytorch simplicial-complexes representation-learning hypergraphs graph-classification geometric-deep-learning node-classification cellular-complexes graph-neural-networks higher-order-networks topological-neural-networks
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Updated
Mar 24, 2026 - Python