7 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.DC2021★ 7 cited
Exploring the Role of Machine Learning in Scientific Workflows: Opportunities and Challenges
Azita Nouri, Philip E. Davis, Pradeep Subedi +1
In this survey, we discuss the challenges of executing scientific workflows as well as existing Machine Learning (ML) techniques to alleviate those challenges. We provide the conte…
cs.LG2021★ 1 cited
Scalable Graph Embedding LearningOn A Single GPU
Azita Nouri, Philip E. Davis, Pradeep Subedi +1
Graph embedding techniques have attracted growing interest since they convert the graph data into continuous and low-dimensional space. Effective graph analytic provides users a de…