{"paper":{"title":"Ranking relations using analogies in biological and information networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","physics.soc-ph","q-bio.QM","stat.AP"],"primary_cat":"stat.ME","authors_text":"Edoardo M. Airoldi, Katherine Heller, Ricardo Silva, Zoubin Ghahramani","submitted_at":"2009-12-28T17:56:50Z","abstract_excerpt":"Analogical reasoning depends fundamentally on the ability to learn and generalize about relations between objects. We develop an approach to relational learning which, given a set of pairs of objects $\\mathbf{S}=\\{A^{(1)}:B^{(1)},A^{(2)}:B^{(2)},\\ldots,A^{(N)}:B ^{(N)}\\}$, measures how well other pairs A:B fit in with the set $\\mathbf{S}$. Our work addresses the following question: is the relation between objects A and B analogous to those relations found in $\\mathbf{S}$? Such questions are particularly relevant in information retrieval, where an investigator might want to search for analogous"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"0912.5193","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}