4 citations · 8 across the 4 of their papers we have counts for
4 papers
Entity Alignment For Knowledge Graphs: Progress, Challenges, and Empirical Studies
Deepak Chaurasiya, Anil Surisetty, Nitish Kumar +5
Entity Alignment (EA) identifies entities across databases that refer to the same entity. Knowledge graph-based embedding methods have recently dominated EA techniques. Such method…
Towards A Methodology and Framework for Workflow-Driven Team Science
Ilkay Altintas, Shweta Purawat, Daniel Crawl +2
Scientific workflows are powerful tools for management of scalable experiments, often composed of complex tasks running on distributed resources. Existing cyberinfrastructure provi…
Deep Learning on Operational Facility Data Related to Large-Scale Distributed Area Scientific Workflows
Alok Singh, Eric Stephan, Malachi Schram +1
Distributed computing platforms provide a robust mechanism to perform large-scale computations by splitting the task and data among multiple locations, possibly located thousands o…
Modular Resource Centric Learning for Workflow Performance Prediction
Alok Singh, Mai Nguyen, Shweta Purawat +2
Workflows provide an expressive programming model for fine-grained control of large-scale applications in distributed computing environments. Accurate estimates of complex workflow…