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JMLR<p>'Graphical Dirichlet Process for Clustering Non-Exchangeable Grouped Data', by Arhit Chakrabarti et al.</p><p><a href="http://jmlr.org/papers/v25/23-1048.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v25/23-1048.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/clustering" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>clustering</span></a> <a href="https://sigmoid.social/tags/clusters" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>clusters</span></a> <a href="https://sigmoid.social/tags/hypergraph" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hypergraph</span></a></p>
Tanguy Fardet<p>I thought I remembered someone here was working on a library to create and analyse <a href="https://fediscience.org/tags/hypergraphs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hypergraphs</span></a> (potentially in <a href="https://fediscience.org/tags/rust" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rust</span></a> but I'm not sure).</p><p>Does anyone know who that might be? I wanted to check the library but I haven't been able to find it (or if I have, I did not recognize it).</p><p>Basically, anyone working on a hypergraph library, please ping me 😉 </p><p><a href="https://fediscience.org/tags/complexNetworks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>complexNetworks</span></a> <a href="https://fediscience.org/tags/networkAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>networkAnalysis</span></a> <a href="https://fediscience.org/tags/graphAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>graphAnalysis</span></a> <a href="https://fediscience.org/tags/graphTheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>graphTheory</span></a> <a href="https://fediscience.org/tags/networkTheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>networkTheory</span></a> <a href="https://fediscience.org/tags/hypergraph" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hypergraph</span></a></p>
AlexCrimi<p><a href="https://mstdn.social/tags/effective" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>effective</span></a> <a href="https://mstdn.social/tags/connectivity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>connectivity</span></a> on <a href="https://mstdn.social/tags/hypergraph" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hypergraph</span></a> "A unified framework for simplicial <a href="https://mstdn.social/tags/Kuramoto" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Kuramoto</span></a> models" by .@MarcoNurisso .@lordgrilo and family <a href="https://pubs.aip.org/aip/cha/article/34/5/053118/3289337/A-unified-framework-for-simplicial-Kuramoto-models" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">pubs.aip.org/aip/cha/article/3</span><span class="invisible">4/5/053118/3289337/A-unified-framework-for-simplicial-Kuramoto-models</span></a> <a href="https://mstdn.social/tags/complexity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>complexity</span></a> <a href="https://mstdn.social/tags/networks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>networks</span></a></p>