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KHop Lifting (Graph to Hypergraph)
Guillermo Bernárdez edited this page Mar 6, 2025
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For each node in the graph, the algorithm finds the set of nodes that are at most k connections away from the initial node. This set is then used to create an hyperedge. The process is repeated for all nodes in the graph.
Reference: Hypergraph Learning: Methods and Practices
- Defining GCCNs
- Defining backbone models
- Reproducing experiments
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Graph to Simplicial Complex
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Graph to Cell Complex
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Graph to Hypergraph
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Graph to Combinatorial
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Pointcloud to Graph
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Pointcloud to Simplicial
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Pointcloud to Hypergraph
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Hypergraph to Simplicial
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Hypergraph to Combinatorial