Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Mayank Kakodkar"'
Dissertation/ Thesis
Autor:
Mayank Kakodkar (12463929)
In recent years there has been a growing interest in data mining and graph machine learning for techniques that can obtain frequencies of k-node Connected Induced Subgraphs (k-CIS) contained in large real-world graphs. While recent work has shown tha
This work considers the general task of estimating the sum of a bounded function over the edges of a graph, given neighborhood query access and where access to the entire network is prohibitively expensive. To estimate this sum, prior work proposes M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52190d930b06084c1bcd944043852667
http://arxiv.org/abs/2012.03879
http://arxiv.org/abs/2012.03879
Autor:
Tim Urdan, Mayank Kakodkar, Bruno Ribiero, Janice Zdankus, Phil Gonsalves, Vanessa Martinez, Natalie Linnell
Publikováno v:
SIGCSE
The lack of diversity in computing is a well-known issue. This poster is a work-in-progress report on Curated Pathways to Innovation (CPI), a web-based tool which gathers existing online resources for computer science (CS) engagement and learning to