Hi everyone Instats is excited to offer a 4-day seminar, Predicting Network Structure with Hypergraphs <https://instats.org/seminar/predicting-network-structure-with-hyperg>, livestreaming September 22–25 and led by Professor Moses Boudourides from Northwestern University’s Data Science Graduate Program. Hypergraphs extend traditional network analysis by allowing edges to link any number of nodes, capturing team-level, co-exposure, and other group interactions in a single structure. Across four days, participants will explore core concepts and state-of-the-art methods for hyperlink prediction, including similarity-based heuristics, word-embedding techniques, deep learning models such as Hypergraph Neural Networks, and spectral approaches like CHESHIRE. The workshop is entirely non-coding and designed for PhD students, academics, and researchers eager to forecast collective processes such as contagion, collaboration, and community formation in fields ranging from social networks and digital humanities to bioinformatics, finance, and transportation. By the end, attendees will be equipped to reconstruct hypergraphs, reveal hidden hyperedges, and perform temporal forecasts, gaining a powerful new toolkit for tackling complex, multi-node phenomena in their own research.
Sign up today <https://instats.org/seminar/predicting-network-structure-with-hyperg> to secure your spot, and share this opportunity with colleagues and students who might benefit! Best wishes Michael Zyphur Professor and Director Institute for Statistical and Data Science https://instats.org [[alternative HTML version deleted]] _______________________________________________ R-sig-genetics mailing list R-sig-genetics@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-genetics
