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method:longest-common-subsequence-k-nn

Longest Common Subsequence k-NN

Alternative alignment metric compared in appendix; calculates longest common subsequence of nearest neighbor lists

Neighborhood — ranked by edge-count

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

  • LCS k-NNmethod0.804
    Calculates the longest common subsequence of nearest neighbors normalized by sequence length
  • Edit k-NNmethod0.763
    Computes edit distance required to match nearest neighbors between two datasets, normalized by maximum edit distance
  • Cycle k-NNmethod0.762
    Alternative alignment metric; measures whether nearest neighbor in one domain also considers original sample as nearest neighbor in other domain
  • Alternative alignment metric compared in appendix; computes edit distance between nearest neighbor lists
  • K-Compositionconcept0.695
    A form of attention head composition where W_K reads from a subspace affected by a previous head; central to how induction heads are implemented
  • The atomic pieces into which weight matrices are decomposed by VPD; each rank-one component is interpretable.
  • The interdependence of morphogenetic sequences, where each triggers others to repair the whole environment, analogous to arithmetic operations.
  • KL Divergenceconcept0.685
    A measure of the difference between two probability distributions, used extensively in free energy formulations.