{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/autoregressive-models-for-sequences-of-graphs","title":"Autoregressive Models for Sequences of Graphs","arxiv_id":"1903.07299","date":"2019-03-18","proceeding":null,"authors":["Daniele Zambon","Daniele Grattarola","Lorenzo Livi","Cesare Alippi"],"abstract":"This paper proposes an autoregressive (AR) model for sequences of graphs,\nwhich generalises traditional AR models. A first novelty consists in\nformalising the AR model for a very general family of graphs, characterised by\na variable topology, and attributes associated with nodes and edges. A graph\nneural network (GNN) is also proposed to learn the AR function associated with\nthe graph-generating process (GGP), and subsequently predict the next graph in\na sequence. The proposed method is compared with four baselines on synthetic\nGGPs, denoting a significantly better performance on all considered problems.","url_abs":"http://arxiv.org/abs/1903.07299v1","url_pdf":"http://arxiv.org/pdf/1903.07299v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"autoregressive-models-for-sequences-of-graphs","repo_url":"https://github.com/dzambon/NGAR","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}},{"paper_slug":"autoregressive-models-for-sequences-of-graphs","repo_url":"https://github.com/dan-zam/NGAR","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"NOASSERTION"}}],"tasks":[{"task_slug":"graph-neural-network","task_name":"Graph Neural Network"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1903.07299","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}