Connectionists: CFP: ICDM 2022 workshop on Machine Learning on Higher-order Structured Data

折闪电 zsdlightning at gmail.com
Mon Aug 15 01:15:20 EDT 2022


We invite submissions to the ICDM 2022 workshop on Machine Learning on
Higher-order Structured Data. The workshop will be held in-person during
one day of the ICDM conference, which will be held at the Hilton Orlando in
Orlando, Florida from Nov 28 - Dec 1.

https://sites.google.com/view/mlhos/

Submission deadline: Sept 2, 2022
Author notification: Oct 5, 2022

please circulate this CFP to your colleagues and networks

Topics of interest broadly include, but are not limited to:

(1) Scalable and efficient algorithms to deal with large-scale, complex
higher-order relations.
(2) Interpretable methods for learning and mining from high-order
structured data.
(3) Models and methods that account for the common properties of data, such
as power law distributions.
(4) Robust machine learning/deep learning methods to address the challenges
of data imbalance and local sparsity.
(5) Deep tensor decomposition and higher-order graph embeddings
(6) Analysis and prediction from high-order interaction events and time
series

Submissions should be original research not published or under review at
any other conference, journal, or workshop. Submissions should have a
maximum of 8 pages (plus 2 extra pages) in double column format, and follow
the guidelines of the standard ICDM paper submissions. For more formatting
details, see ICDM paper guidelines:
https://icdm22.cse.usf.edu/calls/Papers.html.

Workshop paper submission link:
https://wi-lab.com/cyberchair/2022/icdm22/scripts/submit.php?subarea=S16&undisplay_detail=1&wh=/cyberchair/2022/icdm22/scripts/ws_submit.php

For any questions, please feel free to reach out to the organizers directly
at mlhosworkshop at gmail.com.

Organizers:
Shandian Zhe, University of Utah
Nate Veldt, Texas A&M University
Bin Shen, Pinerest, Inc
Kuang-Chih Lee, Alibaba, Inc

Best,
Shandian Zhe
Assistant Professor
School of Computing
University of Utah
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