ESCHER is a new GPU data structure and triad-count update framework that delivers speedups of up to 473.7x over prior methods on dynamic hypergraph tasks.
Size-aware hypergraph motifs,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.DC 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
ESCHER: Efficient and Scalable Hypergraph Evolution Representation with Application to Triad Counting
ESCHER is a new GPU data structure and triad-count update framework that delivers speedups of up to 473.7x over prior methods on dynamic hypergraph tasks.