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Marco Serafini. Data Systems @ UMass. Office: LGRC A335. 740 N Pleasant St. Amherst, MA 01003, USA. I am an Assistant Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst.
Professor of Theoretical Physics Institute for Advanced Study, Princeton University Teaching at Palmer Physical Laboratory (now 302 Frist Campus Center).
Marco Serafini's research lies at the intersection of database systems, distributed systems, and data science. Prior to joining the CICS faculty, he was a Senior Scientist at the Qatar Computing Research Institute (QCRI).
Systems for general graph mining. Programming abstractions, scalability, performance. Graph mining is an important class of graph analytics tasks such as frequent subgraph mining and motif counting. These algorithms are used to discover relevant patterns that comprise both structure-based and label-based properties of the graph.
Articles 1–20. Assistant professor at University of Massachusetts Amherst - Cited by 2,452 - Systems for ML - Data Management Systems - Distributed Systems.
Marco Serafini's 60 research works with 1,500 citations and 6,066 reads, including: FlexPushdownDB: hybrid pushdown and caching in a cloud DBMS
Marco Serafini: Scalable Graph Neural Network Training: The Case for Sampling. ACM SIGOPS Oper. Syst. Rev. 55 ( 1): 68-76 ( 2021)
Sep 13, 2022 · Marco Serafini was awarded a grant from the National Science Foundation for the project “Transparently Scaling Graph Neural Network Training to Large-Scale Models and Graphs”.
Marco Serafini (Speaker) 6 Sept 2022. Activity: Talk or presentation / Performance / Speeches › Talk or presentation - at conference › Academic.
Marco Serafini. Systems for data management and machine learning. Most frequent co-Author. Most cited colleague. Top subject. Distributed systems organizing principles. View research. Top keyword. availability. View research. Most frequent Affiliation. Bibliometrics. Downloads (cumulative) 10,214. Average Citation per Article. 15. Citation count.
