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cs.LG2026
HyperFuse: Fast Self-Supervised Node Embeddings for Attributed Hypergraphs
Megha P, Harshit Kumar, Srajan Agarwal +3
Self-supervised hypergraph representation learning can produce informative node embeddings, but existing methods often require deep encoders trained for hundreds of epochs, making…
cs.LG2026
Learning the Graph and the Embedding Together: Classifier-Independent Rewiring for Heterophilic Node Classification
Harshit Kumar, Sujan Chakraborty, Priyanka Saha +2
Graph neural networks lose much of their advantage on heterophilic graphs, where connected nodes often carry different labels. Graph rewiring is a popular remedy, but rewiring meth…