99 citations · 118 across the 6 of their papers we have counts for
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cs.DC2020
Pattern Morphing for Efficient Graph Mining
Kasra Jamshidi, Keval Vora
Graph mining applications analyze the structural properties of large graphs, and they do so by finding subgraph isomorphisms, which makes them computationally intensive. Existing g…
cs.DC2020
GraFS: Graph Analytics Fusion and Synthesis
Farzin Houshmand, Mohsen Lesani, Keval Vora
Graph analytics elicits insights from large graphs to inform critical decisions for business, safety and security. Several large-scale graph processing frameworks feature efficient…
cs.DC2020★ 99 cited
Peregrine: A Pattern-Aware Graph Mining System
Kasra Jamshidi, Rakesh Mahadasa, Keval Vora
Graph mining workloads aim to extract structural properties of a graph by exploring its subgraph structures. General purpose graph mining systems provide a generic runtime to explo…