{"url":"/method/dorylus","slug":"dorylus","name":"Dorylus","full_name":"Dorylus","full_name_withheld":false,"description_markdown":"**Dorylus** is a distributed system for training graph neural networks which uses cheap CPU servers and Lambda threads. It scales to\r\nlarge billion-edge graphs with low-cost cloud resources.","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":"https://arxiv.org/abs/2105.11118v2","title":"Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"General","area_id":"general","collection":"Distributed Methods","url":"/methods/category/distributed-methods","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":null,"papers_newest_first":[{"paper":"/paper/dorylus-affordable-scalable-and-accurate-gnn","title":"Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads","date":"2021-05-24","arxiv_id":"2105.11118","n_code_links":1,"syntology":null}],"papers_shown":1,"tasks":[{"task":null,"name":"CPU","papers":1},{"task":null,"name":"GPU","papers":1},{"task":"/task/graph-neural-network","name":"Graph Neural Network","papers":1}],"tasks_shown":3,"n_tasks":3,"usage_by_year":[{"year":"2021","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/dorylus"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}