Hypergraph learning for identification of COVID-19 with CT imaging
PulseAugur coverage of Hypergraph learning for identification of COVID-19 with CT imaging — every cluster mentioning Hypergraph learning for identification of COVID-19 with CT imaging across labs, papers, and developer communities, ranked by signal.
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Research questions why higher-order models outperform baselines
A new research paper questions the common assumption that higher-order models, such as hypergraph neural networks, outperform lower-order baselines solely due to their ability to process higher-order information. The st…
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New interpretable framework for hypergraph learning unveiled
Researchers have developed a new interpretable framework for learning on hypergraph-structured data called the hypergraph neural additive network (HGNAN). This model extends classical neural additive models to higher-or…
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New benchmark TAHB integrates text-attributed hypergraphs for AI research
Researchers have introduced TAHB, the first public benchmark designed to integrate text-attributed hypergraph structures with raw textual data. This benchmark comprises 10 real-world datasets spanning e-commerce, academ…