<div dir="ltr"><div style="color:rgb(0,0,0);font-family:Helvetica;font-size:12px;font-style:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration:none">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.<br></div><div style="color:rgb(0,0,0);font-family:Helvetica;font-size:12px;font-style:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration:none"><br></div><div style="color:rgb(0,0,0);font-family:Helvetica;font-size:12px;font-style:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration:none"><div style="color:rgb(0,0,0);font-family:Helvetica;font-size:12px;font-style:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration:none"><a href="https://sites.google.com/view/mlhos/">https://sites.google.com/view/mlhos/</a></div><div style="color:rgb(0,0,0);font-family:Helvetica;font-size:12px;font-style:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration:none"><br></div><div style="color:rgb(0,0,0);font-family:Helvetica;font-size:12px;font-style:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration:none">Submission deadline: Sept 2, 2022<br>Author notification: Oct 5, 2022</div><div style="color:rgb(0,0,0);font-family:Helvetica;font-size:12px;font-style:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration:none"><br></div></div><div style="color:rgb(0,0,0);font-family:Helvetica;font-size:12px;font-style:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration:none">please circulate this CFP to your colleagues and networks</div><div style="color:rgb(0,0,0);font-family:Helvetica;font-size:12px;font-style:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration:none"><br>Topics of interest broadly include, but are not limited to:<br><br>(1) Scalable and efficient algorithms to deal with large-scale, complex higher-order relations.<br>(2) Interpretable methods for learning and mining from high-order structured data.<br>(3) Models and methods that account for the common properties of data, such as power law distributions.<br>(4) Robust machine learning/deep learning methods to address the challenges of data imbalance and local sparsity.<br>(5) Deep tensor decomposition and higher-order graph embeddings<br>(6) Analysis and prediction from high-order interaction events and time series<br><br>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:<span class="gmail-Apple-converted-space"> </span><a href="https://icdm22.cse.usf.edu/calls/Papers.html">https://icdm22.cse.usf.edu/calls/Papers.html</a>.<span class="gmail-Apple-converted-space"> </span><br><br>Workshop paper submission link:<span class="gmail-Apple-converted-space"> </span><a href="https://wi-lab.com/cyberchair/2022/icdm22/scripts/submit.php?subarea=S16&undisplay_detail=1&wh=/cyberchair/2022/icdm22/scripts/ws_submit.php">https://wi-lab.com/cyberchair/2022/icdm22/scripts/submit.php?subarea=S16&undisplay_detail=1&wh=/cyberchair/2022/icdm22/scripts/ws_submit.php</a><br><br>For any questions, please feel free to reach out to the organizers directly at<span class="gmail-Apple-converted-space"> </span><a href="mailto:mlhosworkshop@gmail.com">mlhosworkshop@gmail.com</a>.<br><br>Organizers:<br>Shandian Zhe, University of Utah<br>Nate Veldt, Texas A&M University<br>Bin Shen, Pinerest, Inc<br>Kuang-Chih Lee, Alibaba, Inc</div><div style="color:rgb(0,0,0);font-family:Helvetica;font-size:12px;font-style:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration:none"><br></div><div style="color:rgb(0,0,0);font-family:Helvetica;font-size:12px;font-style:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration:none">Best,</div><div style="color:rgb(0,0,0);font-family:Helvetica;font-size:12px;font-style:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration:none">Shandian Zhe</div><div style="color:rgb(0,0,0);font-family:Helvetica;font-size:12px;font-style:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration:none">Assistant Professor</div><div style="color:rgb(0,0,0);font-family:Helvetica;font-size:12px;font-style:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration:none">School of Computing</div><div style="color:rgb(0,0,0);font-family:Helvetica;font-size:12px;font-style:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration:none">University of Utah<br></div></div>