{"url":"/method/dbgan","slug":"dbgan","name":"DBGAN","full_name":"Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning","full_name_withheld":false,"description_markdown":"DBGAN is a method for graph representation learning. Instead of the widely used normal distribution assumption, the prior distribution of latent representation in DBGAN is estimated in a structure-aware way, which implicitly bridges the graph and feature spaces by prototype learning.\r\n\r\nSource: [Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning](https://arxiv.org/abs/1912.01899)","description_state":"present","introduced_year":null,"introduced_by":{"title":null,"paper":null,"first_author":null,"n_authors":0,"url_abs":null,"archive_paper_url":null},"source":{"url":null,"title":null,"url_on_a_paper_host":false},"code_snippet_url":"https://github.com/SsGood/DBGAN","code_snippet_url_on_a_code_host":true,"categories":[{"area":"Graphs","area_id":"graphs","collection":"Graph Embeddings","url":"/methods/category/graph-embeddings","pwc_aliases":[]}],"n_papers_tagged":2,"archive_num_papers":null,"papers_newest_first":[{"paper":"/paper/deblurring-by-realistic-blurring","title":"Deblurring by Realistic Blurring","date":"2020-04-04","arxiv_id":"2004.01860","n_code_links":1,"syntology":null},{"paper":"/paper/distribution-induced-bidirectional-generative","title":"Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning","date":"2019-12-04","arxiv_id":"1912.01899","n_code_links":1,"syntology":null}],"papers_shown":2,"tasks":[{"task":"/task/deblurring","name":"Deblurring","papers":1},{"task":null,"name":"Generative Adversarial Network","papers":1},{"task":"/task/graph-representation-learning","name":"Graph Representation Learning","papers":1},{"task":"/task/image-deblurring","name":"Image Deblurring","papers":1},{"task":"/task/representation-learning","name":"Representation Learning","papers":1}],"tasks_shown":5,"n_tasks":5,"usage_by_year":[{"year":"2019","papers":1},{"year":"2020","papers":1}],"row_source":"embedded","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/dbgan"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}