{"url":"/method/taxoexpan","slug":"taxoexpan","name":"TaxoExpan","full_name":"TaxoExpan","full_name_withheld":false,"description_markdown":"**TaxoExpan** is a self-supervised taxonomy expansion framework. It automatically generates a set of <query concept, anchor concept> pairs from the existing taxonomy as training data. Using such self-supervision data, TaxoExpan learns a model to predict whether a query concept is the direct hyponym of an anchor concept. TaxoExpan features: (1) a position-enhanced graph neural network that encodes the local structure of an anchor concept in the existing taxonomy, and (2) a noise-robust training objective that enables the learned model to be insensitive to the label noise in the self-supervision data.","description_state":"present","introduced_year":null,"introduced_by":{"title":"TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network","paper":"/paper/taxoexpan-self-supervised-taxonomy-expansion","first_author":"Jiaming Shen","n_authors":6,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/taxoexpan-self-supervised-taxonomy-expansion"},"source":{"url":"https://arxiv.org/abs/2001.09522v1","title":"TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"Natural Language Processing","area_id":"natural-language-processing","collection":"Taxonomy Expansion Models","url":"/methods/category/taxonomy-expansion-models","pwc_aliases":[]},{"area":"Graphs","area_id":"graphs","collection":"Graph Models","url":"/methods/category/graph-models","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/taxoexpan-self-supervised-taxonomy-expansion","title":"TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network","date":"2020-01-26","arxiv_id":"2001.09522","n_code_links":3,"syntology":{"ran":1,"of":2,"unverified":1,"pointer_only":0}}],"papers_shown":1,"tasks":[{"task":"/task/graph-neural-network","name":"Graph Neural Network","papers":1},{"task":null,"name":"Position","papers":1},{"task":"/task/product-recommendation","name":"Product Recommendation","papers":1},{"task":"/task/taxonomy-expansion","name":"Taxonomy Expansion","papers":1}],"tasks_shown":4,"n_tasks":4,"usage_by_year":[{"year":"2020","papers":1}],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/taxoexpan"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}