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‎_bibliography/references.bib

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author={Nimrah Mustafa and Rebekka Burkholz},
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booktitle={Forty-first International Conference on Machine Learning},
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year={2024},
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url={https://openreview.net/forum?id=Sjv5RcqfuH}
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url={https://openreview.net/forum?id=Sjv5RcqfuH},
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pdf={https://openreview.net/pdf?id=Sjv5RcqfuH},
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abstract={Graph Attention Networks (GATs) are designed to provide flexible neighborhood aggregation that assigns weights to neighbors according to their importance. In practice, however, GATs are often unable to switch off task-irrelevant neighborhood aggregation, as we show experimentally and analytically. To address this challenge, we propose GATE, a GAT extension that holds three major advantages: i) It alleviates over-smoothing by addressing its root cause of unnecessary neighborhood aggregation. ii) Similarly to perceptrons, it benefits from higher depth as it can still utilize additional layers for (non-)linear feature transformations in case of (nearly) switched-off neighborhood aggregation. iii) By down-weighting connections to unrelated neighbors, it often outperforms GATs on real-world heterophilic datasets. To further validate our claims, we construct a synthetic test bed to analyze a model's ability to utilize the appropriate amount of neighborhood aggregation, which could be of independent interest.},
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code={https://github.com/RelationalML/GATE}
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}
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@inproceedings{

‎_data/team_members.yml

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members:
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- name: Dr. Chao Zhou
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last_name: Zhou
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photo:
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photo: chao.zhou.jpg
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start_date: May 2024
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email: [email protected]
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url: https://chaoedisonzhouucl.github.io/
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email: [email protected]
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url: https://cispa.de/en/people/c01rani
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- name: Dong Sun
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last_name: Sun
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photo: dong.sun.jpg
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role: PhD student
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start_date: Jul 2024
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email: [email protected]
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url: https://cispa.de/en/people/c01dosu
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- role: Research assistants (HiWis)
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members:
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- name: Adarsh Jamadandi
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role: Research assistant
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start_date: Aug 2023
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email: [email protected]
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url: https://cispa.de/en/people/c02hane
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url: https://nelaturuharsha.github.io/

‎_includes/footer.html

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<div class="row">
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<div class="col-sm-6">
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<p>&copy 2024 Relational ML Lab.</p>
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<p>We are part of the <a href="https://cispa.de//">CISPA Helmholtz Center for Information Security</a>, at the <a href="https://www.uni-saarland.de/">Saarland University</a> campus.</p>
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<p>We are part of the <a href="https://cispa.de">CISPA Helmholtz Center for Information Security</a>, at the <a href="https://www.uni-saarland.de">Saarland University</a> campus.</p>
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</div>
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<div class="col-sm-6">
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<p>Contact:</p>
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<p>Stuhlsatzenhaus 5, 66123 Saarbrücken, Germany<br>
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(<a href="https://goo.gl/maps/KpzD1sq7HrvULVn7A">Maps</a>, <a href="https://cispa.de/en/contact#location">Directions</a>)</p>
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(<a href="https://cispa.de/en/contact#location">Directions</a>)</p>
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</div>
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</div>
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</div>

‎_layouts/default.html

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{% include head.html %}
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<body>
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<div style="display: flex; flex-direction: column; width:100%;height: 100%;">
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</div>
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‎_pages/team.md

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# Team Members
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{% assign first = 0 %}
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{% for group in site.data.team_members %}
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{% assign number_printed = 0 %}
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### {{group.role}}
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{% for member in group.members %}
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{% assign even_odd = number_printed | modulo: 2 %}
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{% if even_odd == 0 %}
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{% if even_odd == 0 and first != 1 %}
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<div class="row">
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{% endif %}
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{% if forloop.first and first > 1 %}
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<h3 style="margin-left:16px;" >{{group.role}}</h3>
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{% endif %}
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<div class="col-sm-6 clearfix">
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{% if first < 2 %}
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<h3>{{group.role}}</h3>
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{% endif %}
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{% if member.photo %}
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<img src="{{ site.url }}{{ site.baseurl }}/images/team/{{ member.photo }}"
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class="img-responsive" width="20%" style="float: left; margin: 6px 22px 24px 0;" />
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class="img-responsive" width="20%" style="float: left; margin: 0px 22px 24px 0;" />
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{% else %}
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<img src="{{ site.url }}{{ site.baseurl }}/images/team/blank.jpg"
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class="img-responsive" width="20%" style="float: left; margin: 6px 22px 24px 0;" />
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class="img-responsive" width="20%" style="float: left; margin: 0px 22px 24px 0;" />
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{% endif %}
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{% if first < 2 %}
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<h4 style="margin-top:22px;">{{ member.name }}</h4>
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{% else %}
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<h4>{{ member.name }}</h4>
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{% endif %}
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[Homepage]({{ member.url }})
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| [Email](mailto:{{ member.email }})
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<br>
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<i>since {{ member.start_date }}</i>
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</div>
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</div>
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{% if even_odd == 1 or forloop.last and first != 0 %}
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</div>
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{% endif %}
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{% endfor %}
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{% if site.data.students.size > 0 %}
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## Master and Bachelor Students
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{% assign number_printed = 0 %}
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{% for member in site.data.students %}
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{% assign even_odd = number_printed | modulo: 2 %}
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<div class="row">
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{% endif %}
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<div class="col-sm-6 clearfix">
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<h4>{{ member.name }}</h4>
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<i>{{ member.info }} <!-- <br>email: <{{ member.email }}></i> -->
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<ul style="overflow: hidden">
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{% if member.number_educ == 1 %}
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<li> {{ member.education1 }} </li>
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{% endif %}
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{% if member.number_educ == 2 %}
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<li> {{ member.education1 }} </li>
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<li> {{ member.education2 }} </li>
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{% endif %}
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{% if member.number_educ == 3 %}
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<li> {{ member.education1 }} </li>
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<li> {{ member.education2 }} </li>
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<li> {{ member.education3 }} </li>
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{% endif %}
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{% if member.number_educ == 4 %}
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<li> {{ member.education1 }} </li>
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<li> {{ member.education2 }} </li>
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<li> {{ member.education3 }} </li>
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<li> {{ member.education4 }} </li>
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{% endif %}
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</div>
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{% assign number_printed = number_printed | plus: 1 %}
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</div>
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{% endfor %}
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</div>
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{% endfor %}
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‎_site/404.html

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<div class="row">
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<p>&copy 2024 Relational ML Lab.</p>
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<p>We are part of the <a href="https://cispa.de//">CISPA Helmholtz Center for Information Security</a>, at the <a href="https://www.uni-saarland.de/">Saarland University</a> campus.</p>
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<p>We are part of the <a href="https://cispa.de">CISPA Helmholtz Center for Information Security</a>, at the <a href="https://www.uni-saarland.de">Saarland University</a> campus.</p>
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</div>
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<p>Contact:</p>
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<p>Stuhlsatzenhaus 5, 66123 Saarbrücken, Germany<br>
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(<a href="https://goo.gl/maps/KpzD1sq7HrvULVn7A">Maps</a>, <a href="https://cispa.de/en/contact#location">Directions</a>)</p>
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(<a href="https://cispa.de/en/contact#location">Directions</a>)</p>
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‎_site/images/team/chao.zhou.jpg

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‎_site/images/team/dong.sun.jpg

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‎_site/index.html

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<p>&copy 2024 Relational ML Lab.</p>
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<p>We are part of the <a href="https://cispa.de//">CISPA Helmholtz Center for Information Security</a>, at the <a href="https://www.uni-saarland.de/">Saarland University</a> campus.</p>
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<p>We are part of the <a href="https://cispa.de">CISPA Helmholtz Center for Information Security</a>, at the <a href="https://www.uni-saarland.de">Saarland University</a> campus.</p>
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<p>Contact:</p>
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<p>Stuhlsatzenhaus 5, 66123 Saarbrücken, Germany<br>
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(<a href="https://goo.gl/maps/KpzD1sq7HrvULVn7A">Maps</a>, <a href="https://cispa.de/en/contact#location">Directions</a>)</p>
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(<a href="https://cispa.de/en/contact#location">Directions</a>)</p>
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‎_site/news.html

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<p>&copy 2024 Relational ML Lab.</p>
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<p>We are part of the <a href="https://cispa.de//">CISPA Helmholtz Center for Information Security</a>, at the <a href="https://www.uni-saarland.de/">Saarland University</a> campus.</p>
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<p>We are part of the <a href="https://cispa.de">CISPA Helmholtz Center for Information Security</a>, at the <a href="https://www.uni-saarland.de">Saarland University</a> campus.</p>
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<p>Contact:</p>
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<p>Stuhlsatzenhaus 5, 66123 Saarbrücken, Germany<br>
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(<a href="https://goo.gl/maps/KpzD1sq7HrvULVn7A">Maps</a>, <a href="https://cispa.de/en/contact#location">Directions</a>)</p>
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(<a href="https://cispa.de/en/contact#location">Directions</a>)</p>
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‎_site/openings.html

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<p>&copy 2024 Relational ML Lab.</p>
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<p>We are part of the <a href="https://cispa.de//">CISPA Helmholtz Center for Information Security</a>, at the <a href="https://www.uni-saarland.de/">Saarland University</a> campus.</p>
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<p>We are part of the <a href="https://cispa.de">CISPA Helmholtz Center for Information Security</a>, at the <a href="https://www.uni-saarland.de">Saarland University</a> campus.</p>
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<p>Contact:</p>
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<p>Stuhlsatzenhaus 5, 66123 Saarbrücken, Germany<br>
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(<a href="https://goo.gl/maps/KpzD1sq7HrvULVn7A">Maps</a>, <a href="https://cispa.de/en/contact#location">Directions</a>)</p>
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(<a href="https://cispa.de/en/contact#location">Directions</a>)</p>
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‎_site/publications/index.html

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<option value="Rubio-Madrigal">Celia Rubio-Madrigal</option>
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<option value="Jacobs">Tom Jacobs</option>
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<option value="Nittala">Rahul Nittala</option>
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<option value="Sun">Dong Sun</option>
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<option value="Jamadandi">Adarsh Jamadandi</option>
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<option value="Nelaturu">Harsha Nelaturu</option>
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<!-- Links/Buttons -->
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<div class="links"><a class="conf btn btn-sm z-depth-0">ICML</a><a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a>
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<a class="abstract btn btn-sm z-depth-0" role="button">Abs</a>
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<a href="https://openreview.net/pdf?id=Sjv5RcqfuH" class="btn btn-sm z-depth-0" role="button">PDF</a>
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<a href="https://github.com/RelationalML/GATE" class="btn btn-sm z-depth-0" role="button">Code</a>
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<p>Graph Attention Networks (GATs) are designed to provide flexible neighborhood aggregation that assigns weights to neighbors according to their importance. In practice, however, GATs are often unable to switch off task-irrelevant neighborhood aggregation, as we show experimentally and analytically. To address this challenge, we propose GATE, a GAT extension that holds three major advantages: i) It alleviates over-smoothing by addressing its root cause of unnecessary neighborhood aggregation. ii) Similarly to perceptrons, it benefits from higher depth as it can still utilize additional layers for (non-)linear feature transformations in case of (nearly) switched-off neighborhood aggregation. iii) By down-weighting connections to unrelated neighbors, it often outperforms GATs on real-world heterophilic datasets. To further validate our claims, we construct a synthetic test bed to analyze a model’s ability to utilize the appropriate amount of neighborhood aggregation, which could be of independent interest.</p>
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</div><!-- Hidden bibtex block -->
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<figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@inproceedings</span><span class="p">{</span><span class="nl">mustafa2024gate</span><span class="p">,</span>
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<span class="na">title</span> <span class="p">=</span> <span class="s">{{GATE}: How to Keep Out Intrusive Neighbors}</span><span class="p">,</span>
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<span class="na">author</span> <span class="p">=</span> <span class="s">{Mustafa, Nimrah and Burkholz, Rebekka}</span><span class="p">,</span>
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<span class="na">booktitle</span> <span class="p">=</span> <span class="s">{Forty-first International Conference on Machine Learning}</span><span class="p">,</span>
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<span class="na">year</span> <span class="p">=</span> <span class="s">{2024}</span><span class="p">,</span>
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<span class="na">url</span> <span class="p">=</span> <span class="s">{https://openreview.net/forum?id=Sjv5RcqfuH}</span>
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<span class="na">url</span> <span class="p">=</span> <span class="s">{https://openreview.net/forum?id=Sjv5RcqfuH}</span><span class="p">,</span>
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<span class="p">}</span></code></pre></figure>
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<p>&copy 2024 Relational ML Lab.</p>
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<p>We are part of the <a href="https://cispa.de//">CISPA Helmholtz Center for Information Security</a>, at the <a href="https://www.uni-saarland.de/">Saarland University</a> campus.</p>
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<p>We are part of the <a href="https://cispa.de">CISPA Helmholtz Center for Information Security</a>, at the <a href="https://www.uni-saarland.de">Saarland University</a> campus.</p>
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<p>Stuhlsatzenhaus 5, 66123 Saarbrücken, Germany<br>
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(<a href="https://goo.gl/maps/KpzD1sq7HrvULVn7A">Maps</a>, <a href="https://cispa.de/en/contact#location">Directions</a>)</p>
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(<a href="https://cispa.de/en/contact#location">Directions</a>)</p>
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