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<p class="MsoNormal"><span lang="EN-US" style="font-family:"Arial",sans-serif;color:black">We are organizing a workshop with the title:  “New Trends in Representation Learning with Knowledge Graphs”  https://sites.google.com/view/kgrlfr-workshop/home   @ ECML
 PKDD 2019 http://ecmlpkdd2019.org/  (2019-09-16 to 2019-09-20 )<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-family:"Arial",sans-serif;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-family:"Arial",sans-serif;color:black">The ECML is the leading European Conference on Machine Learning. 
<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-family:"Arial",sans-serif;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-family:"Arial",sans-serif;color:black">The workshop day is 2019-09-16.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-family:"Arial",sans-serif;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-family:"Arial",sans-serif;color:black">Submission deadline:  2019-06-14. Please submit short papers,  up to 6 pages. Accepted papers will be published in the conference proceedings. Selected short papers will
 be encouraged to be submitted to a special issue of JWS with the topic of the workshop.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-family:"Arial",sans-serif;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-family:"Arial",sans-serif;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-family:"Arial",sans-serif;color:black">Best regards,
<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-family:"Arial",sans-serif;color:black">Volker<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-family:"Arial",sans-serif;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-family:"Arial",sans-serif;color:black"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US" style="font-family:"Arial",sans-serif;color:black">We invite the submission of papers on topics including, but not limited to:<o:p></o:p></span></p>
<ul style="margin-top:0cm" type="disc">
<li class="MsoListParagraphCxSpFirst" style="color:black;margin-left:0cm;mso-add-space:auto;mso-list:l0 level1 lfo1">
<span lang="EN-US" style="font-family:"Arial",sans-serif">Knowledge graph representations for relational reasoning<o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="color:black;margin-left:0cm;mso-add-space:auto;mso-list:l0 level1 lfo1">
<span lang="EN-US" style="font-family:"Arial",sans-serif">Unsupervised learning of complex graphs over graph-structured data<o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="color:black;margin-left:0cm;mso-add-space:auto;mso-list:l0 level1 lfo1">
<span lang="EN-US" style="font-family:"Arial",sans-serif">Neural/Statistical Relational Learning<o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="color:black;margin-left:0cm;mso-add-space:auto;mso-list:l0 level1 lfo1">
<span lang="EN-US" style="font-family:"Arial",sans-serif">Integrating learning of expressive knowledge representation and flexible reasoning<o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="color:black;margin-left:0cm;mso-add-space:auto;mso-list:l0 level1 lfo1">
<span lang="EN-US" style="font-family:"Arial",sans-serif">Exploring non-Euclidean spaces for knowledge graph representations<o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="color:black;margin-left:0cm;mso-add-space:auto;mso-list:l0 level1 lfo1">
<span lang="EN-US" style="font-family:"Arial",sans-serif">Inference tasks for learned knowledge graph representations that require general-purpose reasoning<o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="color:black;margin-left:0cm;mso-add-space:auto;mso-list:l0 level1 lfo1">
<span lang="EN-US" style="font-family:"Arial",sans-serif">Knowledge graph representations for industrial recommendation systems<o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="color:black;margin-left:0cm;mso-add-space:auto;mso-list:l0 level1 lfo1">
<span lang="EN-US" style="font-family:"Arial",sans-serif">Decision modelling in personalized medicine with knowledge graph representations (e.g., decision support at the point of care in tumor boards)<o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="color:black;margin-left:0cm;mso-add-space:auto;mso-list:l0 level1 lfo1">
<span lang="EN-US" style="font-family:"Arial",sans-serif">Visual scene graph modelling with the help of knowledge graphs.<o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="color:black;margin-left:0cm;mso-add-space:auto;mso-list:l0 level1 lfo1">
<span lang="EN-US" style="font-family:"Arial",sans-serif">Knowledge graph representation to support natural language understanding.<o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="color:black;margin-left:0cm;mso-add-space:auto;mso-list:l0 level1 lfo1">
<span lang="EN-US" style="font-family:"Arial",sans-serif">Knowledge Graphs for cognitive science<o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="color:black;margin-left:0cm;mso-add-space:auto;mso-list:l0 level1 lfo1">
<span lang="EN-US" style="font-family:"Arial",sans-serif">Representation learning on time-dependent knowledge graphs<o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="color:black;margin-left:0cm;mso-add-space:auto;mso-list:l0 level1 lfo1">
<span lang="EN-US" style="font-family:"Arial",sans-serif">Question answering and commonsense reasoning via knowledge graphs<o:p></o:p></span></li><li class="MsoListParagraphCxSpMiddle" style="color:black;margin-left:0cm;mso-add-space:auto;mso-list:l0 level1 lfo1">
<span lang="EN-US" style="font-family:"Arial",sans-serif">Knowledge graph representation learning models based on adversarial methods.<o:p></o:p></span></li><li class="MsoListParagraphCxSpLast" style="color:black;margin-left:0cm;mso-add-space:auto;mso-list:l0 level1 lfo1">
<span lang="EN-US" style="font-family:"Arial",sans-serif">Quantum Computing as a basis for scalable Knowledge graph representation learning.<o:p></o:p></span></li></ul>
<p class="MsoNormal"><span lang="EN-US" style="mso-fareast-language:EN-US"><o:p> </o:p></span></p>
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