all AI news
Remote Work Optimization with Robust Multi-channel Graph Neural Networks. (arXiv:2209.03150v1 [cs.SI])
Sept. 8, 2022, 1:11 a.m. | Qinyi Zhu, Liang Wu, Qi Guo, Liangjie Hong
cs.LG updates on arXiv.org arxiv.org
The spread of COVID-19 leads to the global shutdown of many corporate
offices, and encourages companies to open more opportunities that allow
employees to work from a remote location. As the workplace type expands from
onsite offices to remote areas, an emerging challenge for an online hiring
marketplace is how these remote opportunities and user intentions to work
remotely can be modeled and matched without prior information. Despite the
unprecedented amount of remote jobs posted amid COVID-19, there is no …
arxiv graph graph neural networks networks neural networks optimization remote remote work work
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Director, Clinical Data Science
@ Aura | Remote USA
Research Scientist, AI (PhD)
@ Meta | Menlo Park, CA | New York City