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>