{"url":"/method/sdne","slug":"sdne","name":"SDNE","full_name":"Structural Deep Network Embedding","full_name_withheld":false,"description_markdown":null,"description_state":"absent","introduced_year":null,"introduced_by":{"title":"Structural Deep Network Embedding","paper":"/paper/structural-deep-network-embedding","first_author":"Daixin Wang1","n_authors":3,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/structural-deep-network-embedding"},"source":{"url":"https://www.kdd.org/kdd2016/papers/files/rfp0191-wangAemb.pdf","title":"Structural Deep Network Embedding","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"Graphs","area_id":"graphs","collection":"Graph Embeddings","url":"/methods/category/graph-embeddings","pwc_aliases":[]}],"n_papers_tagged":3,"archive_num_papers":3,"papers_newest_first":[{"paper":"/paper/the-effects-of-randomness-on-the-stability-of","title":"The Effects of Randomness on the Stability of Node Embeddings","date":"2020-05-20","arxiv_id":"2005.10039","n_code_links":2,"syntology":{"ran":2,"of":2,"unverified":0,"pointer_only":2}},{"paper":"/paper/network-representation-learning-consolidation","title":"Network Representation Learning: Consolidation and Renewed Bearing","date":"2019-05-02","arxiv_id":"1905.00987","n_code_links":1,"syntology":null},{"paper":"/paper/structural-deep-network-embedding","title":"Structural Deep Network Embedding","date":"2016-06-01","arxiv_id":null,"n_code_links":6,"syntology":null}],"papers_shown":3,"tasks":[{"task":"/task/classification","name":"General Classification","papers":2},{"task":"/task/link-prediction","name":"Link Prediction","papers":2},{"task":"/task/node-classification","name":"Node Classification","papers":2},{"task":"/task/dimensionality-reduction","name":"Dimensionality Reduction","papers":1},{"task":"/task/graph-classification","name":"Graph Classification","papers":1},{"task":"/task/network-embedding","name":"Network Embedding","papers":1},{"task":"/task/representation-learning","name":"Representation Learning","papers":1}],"tasks_shown":7,"n_tasks":7,"usage_by_year":[{"year":"2016","papers":1},{"year":"2019","papers":1},{"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/sdne"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}