{"url":"/method/wegl","slug":"wegl","name":"WEGL","full_name":"Wasserstein Embedding for Graph Learning","full_name_withheld":false,"description_markdown":"Please enter a description here","description_state":"present","introduced_year":null,"introduced_by":{"title":"Wasserstein Embedding for Graph Learning","paper":"/paper/wasserstein-embedding-for-graph-learning","first_author":"Soheil Kolouri","n_authors":4,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/wasserstein-embedding-for-graph-learning"},"source":{"url":"https://arxiv.org/abs/2006.09430v2","title":"Wasserstein Embedding for Graph Learning","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":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/wasserstein-embedding-for-graph-learning","title":"Wasserstein Embedding for Graph Learning","date":"2020-06-16","arxiv_id":"2006.09430","n_code_links":1,"syntology":null}],"papers_shown":1,"tasks":[{"task":"/task/computational-efficiency","name":"Computational Efficiency","papers":1},{"task":"/task/graph-classification","name":"Graph Classification","papers":1},{"task":"/task/graph-embedding","name":"Graph Embedding","papers":1},{"task":"/task/graph-learning","name":"Graph Learning","papers":1},{"task":"/task/graph-property-prediction","name":"Graph Property Prediction","papers":1},{"task":"/task/property-prediction","name":"Property Prediction","papers":1}],"tasks_shown":6,"n_tasks":6,"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/wegl"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}