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A Novel Embedding Model for Knowledge Hypergraph Link Prediction with Convolutional Neural Networks
FP 4: Graphs and Hypergraphs
Structural Patterns and Generative Models of Real-world Hypergraphs (KDD 2020, Long)
DSI | Hypergraphs and Topology for Data Science | By Emilie Purvine
Higher-Order Networks and Motif Analysis in Hypergraphs - SML journal club - Talk 4
Learning with Hypergraphs: Section 1
26.07.30. Shakhar Smorodinsky, Hypergraphs with Bounded VC-Dimension (Lecture 4)
Automated distribution of quantum circuits via hypergraph partitioning
STOC24 10 D 4 New Graph and Hypergraph Container Lemmas with Applications in Property Testing
Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning
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Last Updated: September 29, 2026
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Every graph so far has been built from binary triples — subject, predicate, object. But most real facts are not binary. "A patient on ... Authors: Yichao Yan, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Ying Tai, Ling Shao Description: Video-based person re-identification ... A introduction of HyConvE: A Novel Embedding Model Chair: Andreas Kerren Room 1BCD Tuesday, 13 June, 2023 16:00 – 17:30 Evonne: A Visual Tool A video presentation of Do, Manh Tuan, Se-eun Yoon, Bryan Hooi, Kijung Shin, "Structural Patterns and Generative Models of ... Data scientists and applied mathematicians must grapple with complex data when analyzing complex systems. Analytical ... Over the last two decades, networks have emerged as a powerful tool to analyze the complex topology of interacting systems. IBS ECOPRO 2026 Summer School ibs.re.kr/ecopro/summer-2026/ Shakhar Smorodinsky, Presenter: Pablo Andrez-Martinez Presented at PLanQC'20, hosted at POPL'20. Authors: Meng Liu: Department of Computer Science, Purdue University; Nate Veldt: Center Please Share & to our channel tinyurl.com/5y2un97h.