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Pierre Monnin<p>Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction<br /><a href="https://2024.eswc-conferences.org/wp-content/uploads/2024/04/146640020.pdf" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">2024.eswc-conferences.org/wp-c</span><span class="invisible">ontent/uploads/2024/04/146640020.pdf</span></a></p><p><a href="https://sigmoid.social/tags/knowledgeGraph" class="mention hashtag" rel="tag">#<span>knowledgeGraph</span></a> <a href="https://sigmoid.social/tags/syntheticData" class="mention hashtag" rel="tag">#<span>syntheticData</span></a> <a href="https://sigmoid.social/tags/neuroSymbolicAI" class="mention hashtag" rel="tag">#<span>neuroSymbolicAI</span></a> <a href="https://sigmoid.social/tags/ArtificialIntelligence" class="mention hashtag" rel="tag">#<span>ArtificialIntelligence</span></a> <a href="https://sigmoid.social/tags/semanticWeb" class="mention hashtag" rel="tag">#<span>semanticWeb</span></a> <a href="https://sigmoid.social/tags/linkPrediction" class="mention hashtag" rel="tag">#<span>linkPrediction</span></a> <a href="https://sigmoid.social/tags/graphEmbedding" class="mention hashtag" rel="tag">#<span>graphEmbedding</span></a></p>
Pierre Monnin<p>PyGraft: Configurable Generation of Synthetic Schemas and Knowledge Graphs at Your Fingertips <a href="https://2024.eswc-conferences.org/wp-content/uploads/2024/04/146640336-1.pdf" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="ellipsis">2024.eswc-conferences.org/wp-c</span><span class="invisible">ontent/uploads/2024/04/146640336-1.pdf</span></a></p><p><a href="https://sigmoid.social/tags/knowledgeGraph" class="mention hashtag" rel="tag">#<span>knowledgeGraph</span></a> <a href="https://sigmoid.social/tags/syntheticData" class="mention hashtag" rel="tag">#<span>syntheticData</span></a> <a href="https://sigmoid.social/tags/neuroSymbolicAI" class="mention hashtag" rel="tag">#<span>neuroSymbolicAI</span></a> <a href="https://sigmoid.social/tags/ArtificialIntelligence" class="mention hashtag" rel="tag">#<span>ArtificialIntelligence</span></a> <a href="https://sigmoid.social/tags/semanticWeb" class="mention hashtag" rel="tag">#<span>semanticWeb</span></a> <a href="https://sigmoid.social/tags/linkPrediction" class="mention hashtag" rel="tag">#<span>linkPrediction</span></a> <a href="https://sigmoid.social/tags/graphEmbedding" class="mention hashtag" rel="tag">#<span>graphEmbedding</span></a></p>
Pierre Monnin<p>Very glad to announce that we got 2 best paper awards at <a href="https://sigmoid.social/tags/ESWC2024" class="mention hashtag" rel="tag">#<span>ESWC2024</span></a> for our works about PyGraft (resource track) and semantically enhanced loss functions to learn graph <a href="https://sigmoid.social/tags/embedding" class="mention hashtag" rel="tag">#<span>embedding</span></a> (research track)! Congratulations Nicolas Hubert!</p><p><a href="https://sigmoid.social/tags/knowledgeGraph" class="mention hashtag" rel="tag">#<span>knowledgeGraph</span></a> <a href="https://sigmoid.social/tags/syntheticData" class="mention hashtag" rel="tag">#<span>syntheticData</span></a> <a href="https://sigmoid.social/tags/neuroSymbolicAI" class="mention hashtag" rel="tag">#<span>neuroSymbolicAI</span></a> <a href="https://sigmoid.social/tags/ArtificialIntelligence" class="mention hashtag" rel="tag">#<span>ArtificialIntelligence</span></a> <a href="https://sigmoid.social/tags/semanticWeb" class="mention hashtag" rel="tag">#<span>semanticWeb</span></a> <a href="https://sigmoid.social/tags/linkPrediction" class="mention hashtag" rel="tag">#<span>linkPrediction</span></a> <a href="https://sigmoid.social/tags/graphEmbedding" class="mention hashtag" rel="tag">#<span>graphEmbedding</span></a></p>
Pierre Monnin<p>Thrilled to share two articles I co-authored for the 1st issue of Transactions on Graph Data and Knowledge (<span class="h-card" translate="no"><a href="https://mastodon.social/@tgdkjournal" class="u-url mention">@<span>tgdkjournal</span></a></span>):<br />- <a href="https://sigmoid.social/tags/MachineLearning" class="mention hashtag" rel="tag">#<span>MachineLearning</span></a> and <a href="https://sigmoid.social/tags/KnowledgeGraphs" class="mention hashtag" rel="tag">#<span>KnowledgeGraphs</span></a>: Existing Gaps and Future Research Challenges (<a href="https://doi.org/10.4230/TGDK.1.1.8" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">doi.org/10.4230/TGDK.1.1.8</span><span class="invisible"></span></a>)<br />- <a href="https://sigmoid.social/tags/KnowledgeGraphs" class="mention hashtag" rel="tag">#<span>KnowledgeGraphs</span></a> for the <a href="https://sigmoid.social/tags/LifeSciences" class="mention hashtag" rel="tag">#<span>LifeSciences</span></a>: Recent Developments, Challenges and Opportunities (<a href="https://doi.org/10.4230/TGDK.1.1.5" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">doi.org/10.4230/TGDK.1.1.5</span><span class="invisible"></span></a>)<br />It was a fantastic experience to collaborate on these two vision papers! <br /><a href="https://sigmoid.social/tags/semanticWeb" class="mention hashtag" rel="tag">#<span>semanticWeb</span></a> <a href="https://sigmoid.social/tags/linkedOpenData" class="mention hashtag" rel="tag">#<span>linkedOpenData</span></a> <a href="https://sigmoid.social/tags/explainableAI" class="mention hashtag" rel="tag">#<span>explainableAI</span></a> <a href="https://sigmoid.social/tags/graphEmbedding" class="mention hashtag" rel="tag">#<span>graphEmbedding</span></a></p>
Pierre Monnin<p>Proud to announce our new paper, &quot;Relevant Entity Selection: Knowledge Graph Bootstrapping via Zero-Shot Analogical Pruning&quot; with Lucas Jarnac and Miguel Couceiro, accepted in <a href="https://sigmoid.social/tags/cikm2023" class="mention hashtag" rel="tag">#<span>cikm2023</span></a> </p><p><a href="https://sigmoid.social/tags/knowledgeGraph" class="mention hashtag" rel="tag">#<span>knowledgeGraph</span></a> <a href="https://sigmoid.social/tags/machineLearning" class="mention hashtag" rel="tag">#<span>machineLearning</span></a> <a href="https://sigmoid.social/tags/graphEmbedding" class="mention hashtag" rel="tag">#<span>graphEmbedding</span></a> <a href="https://sigmoid.social/tags/transferLearning" class="mention hashtag" rel="tag">#<span>transferLearning</span></a> <a href="https://sigmoid.social/tags/zeroShot" class="mention hashtag" rel="tag">#<span>zeroShot</span></a> <a href="https://sigmoid.social/tags/openScience" class="mention hashtag" rel="tag">#<span>openScience</span></a></p>
Pierre Monnin<p>Accepted extended abstracts in <a href="https://sigmoid.social/tags/WikiWorkshop2023" class="mention hashtag" rel="tag">#<span>WikiWorkshop2023</span></a>: <a href="https://wikiworkshop.org/223/#papers" target="_blank" rel="nofollow noopener" translate="no"><span class="invisible">https://</span><span class="">wikiworkshop.org/223/#papers</span><span class="invisible"></span></a></p><p>Looking forward to presenting our work addressing the cold start problem by bootstrapping an Enterprise <a href="https://sigmoid.social/tags/KnowledgeGraph" class="mention hashtag" rel="tag">#<span>KnowledgeGraph</span></a> from <a href="https://sigmoid.social/tags/Wikidata" class="mention hashtag" rel="tag">#<span>Wikidata</span></a> with thematic subgraph selection and pruning!<br /><a href="https://sigmoid.social/tags/graphEmbedding" class="mention hashtag" rel="tag">#<span>graphEmbedding</span></a> <a href="https://sigmoid.social/tags/machineLearning" class="mention hashtag" rel="tag">#<span>machineLearning</span></a> <a href="https://sigmoid.social/tags/semanticWeb" class="mention hashtag" rel="tag">#<span>semanticWeb</span></a> <a href="https://sigmoid.social/tags/coldStart" class="mention hashtag" rel="tag">#<span>coldStart</span></a></p>