{"data":{"slug":"node-embedding","term":"Node Embedding","bucket":"data","definition":"Graph-structural embeddings for corpus entities — methods, datasets, benchmarks, labs. Used for similarity and clustering.","short_definition":"Graph-structural embeddings for corpus entities — methods, datasets, benchmarks, labs. Used for similarity and clustering.","long_definition":"Node Embedding produces vectors for the entity graph: methods, datasets, benchmarks, labs, opportunity clusters. The embeddings power similar-method discovery, cluster summaries, and the Talent search modes. They sit alongside Paper Chunker output but live one layer up: the chunks describe what a paper says, the node embeddings describe what entities the corpus knows.","related_terms":["corpus-surface","paper-chunker","talent"],"related_term_routes":[{"slug":"corpus-surface","term":"Corpus Surface","route":"/resources/glossary/corpus-surface"},{"slug":"paper-chunker","term":"Paper Chunker","route":"/resources/glossary/paper-chunker"},{"slug":"talent","term":"Talent","route":"/resources/glossary/talent"}],"canonical_route":"/resources/glossary/node-embedding","api_route":"/api/v1/resources/glossary/node-embedding","jsonld_id":"https://sciencetostartup.com/resources/glossary/node-embedding","variants":[],"tldr":"Graph-structural embeddings for corpus entities — methods, datasets, benchmarks, labs. Used for similarity and clustering.","key_points":[],"quality_tier":null,"citation_count":null,"source_state":"curated_static","source_module":"apps/web/data/glossary/terms.ts","definition_sections":{"schema_version":1,"intro":"Node Embedding produces vectors for the entity graph: methods, datasets, benchmarks, labs, opportunity clusters. The embeddings power similar-method discovery, cluster summaries, and the Talent search modes. They sit alongside Paper Chunker output but live one layer up: the chunks describe what a paper says, the node embeddings describe what entities the corpus knows.","sections":[{"title":"Definition","items":[{"subtitle":"Node Embedding","text":"Node Embedding produces vectors for the entity graph: methods, datasets, benchmarks, labs, opportunity clusters. The embeddings power similar-method discovery, cluster summaries, and the Talent search modes. They sit alongside Paper Chunker output but live one layer up: the chunks describe what a paper says, the node embeddings describe what entities the corpus knows."}]},{"title":"Related vocabulary","items":[{"subtitle":"Corpus Surface","text":"Entity-level aggregation: methods, datasets, benchmarks, labs, opportunity clusters. Each has a slug, edge type, and freshness window."},{"subtitle":"Paper Chunker","text":"Splits paper full text into overlapping semantic chunks for embedding, retrieval, and citation-anchored answers."},{"subtitle":"Talent","text":"The expert and builder discovery surface. Seeded from a paper, a workspace, or natural language; returns ranked profiles."}]}],"cited_arxiv_ids":[]}},"meta":{"canonical_route":"/resources/glossary/node-embedding","api_route":"/api/v1/resources/glossary/node-embedding","source":{"label":"curated glossary catalog","source_state":"curated_static","source_module":"apps/web/data/glossary/terms.ts","method_version":"public_glossary_curated_terms_v2","freshness":{"status":"versioned","observed_at":null,"fresh_until":null,"reason":"Git-versioned curated catalog; daily ingestion freshness windows do not apply.","reason_code":"git_versioned_curated_catalog"},"source_count":111,"bucket_count":7,"buckets":["scoring","surfaces","agents","distribution","data","foresight","buildability"]}}}