45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026U SalernoU TurinUniversità degli Studi di SalernHypergraphsHypergraph Generation with Latent DiffusionValerio Di Pasquale, Alessia Antelmi, Mirko Polato, Carmine SpagnuoloSydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet0/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 0 of 20 reviewers recommend itlenient 0/5medium 0/10strict 0/5
45%Niche pick?Niche pickVote to see the scoreNeurIPS 2026East China NormalWenzhouHypergraphsHypergraph-guided Global Mean-field Negotiation For Multiview Evidential ClassificationShaobo Hu, Shiliang Sun, Nan ZhangSydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet0/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 0 of 20 reviewers recommend itlenient 0/5medium 0/10strict 0/5
80%Must read?Must readVote to see the scoreNeurIPS 2026UC Santa BarbaraU Roma "La Sapienza"Universitat Politècnica de CatalU FribourgAalto University, CGIHypergraphsHOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial RepresentationsHOPSE replaces higher-order message passing with Hasse-graph encodings to scale linearly on combinatorial domains while matching or exceeding state-of-the-art performance.Guillermo Bernárdez, Marco Montagna, Louis Van Langendonck, Martin Carrasco and 6 moreSydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026– ReadersNo votes yet12/20 AI panelreviewers recommend itReaders and the AI panel: vote on this paper to see what they said.Worth readingNot for meOnly vote on papers you've read. Sign in with GitHub to vote.AI panel: 12 of 20 reviewers recommend itlenient 4/5medium 8/10strict 0/5