Material for the HyTAC 2019 Workshop:
Our pre-print on H-modularity (in PLOS ONE soon): https://arxiv.org/abs/1810.04816
Recent paper with a reweighted graph version of H-modularity: https://arxiv.org/abs/1812.10869
Learning with Hypergraphs: Clustering, Classification, and Embedding: https://papers.nips.cc/paper/3128-learning-with-hypergraphs-clustering-classification-and-embedding.pdf
Our pre-print on comparing embeddings (in J. of Complex Networks soon): https://arxiv.org/abs/1906.04562
More graph-related material, including Python notebooks: https://github.com/ftheberge/ComplexNetworks2019