method
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method:edit-distance-k-nn

Edit Distance k-NN

Alternative alignment metric compared in appendix; computes edit distance between nearest neighbor lists

Neighborhood — ranked by edge-count

Methods (1)

method
  • Edit k-NN
    related_to
    Computes edit distance required to match nearest neighbors between two datasets, normalized by maximum edit distance

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.

  • Cycle k-NNmethod0.744
    Alternative alignment metric; measures whether nearest neighbor in one domain also considers original sample as nearest neighbor in other domain
  • LCS k-NNmethod0.735
    Calculates the longest common subsequence of nearest neighbors normalized by sequence length
  • Alternative alignment metric compared in appendix; calculates longest common subsequence of nearest neighbor lists
  • Primary alignment metric used in experiments; measures mean intersection of k-nearest neighbor sets between two kernels
  • Average of S(ℓ) across layers.
  • The maximum distance over which a cell alters the future fate of another cell; used to quantify the cognitive light cone.
  • Peak anchoring (Sbmax) and normalized area under the S(ℓ) curve (AUSN) used to summarize trajectory.
  • Application enabled by VPD: direct manipulation of weight matrices for interpretable model modification.