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Title Technical Perspective - No PANE, No Gain: Scaling Attributed Network Embedding in a Single Server
Authors Aidan Hogan
Publication date July 2022
Abstract The machine learning community has traditionally been
in developing techniques for diverse types of data, such as text, audio,
images, videos, time series, and, of course, matrices, tensors, etc. "But
what about graphs?" some of us graph enthusiasts may have asked ourselves,
dejectedly, before transforming our beautiful graph into a brutalistic table
of numbers that bore little resemblance to its parent, nor the phenomena it
represented, but could at least be shovelled into the machine learning
frameworks of the time. Thankfully those days are coming to an
Pages 41
Volume 51
Journal name SIGMOD Record
Publisher ACM Press (New York, NY, USA)
Reference URL View reference page