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PRESTO: Simple and Scalable Sampling Techniques for the Rigorous
  Approximation of Temporal Motif Counts

PRESTO: Simple and Scalable Sampling Techniques for the Rigorous Approximation of Temporal Motif Counts

SDM (SDM), 2021
18 January 2021
Ilie Sarpe
Fabio Vandin
ArXiv (abs)PDFHTML

Papers citing "PRESTO: Simple and Scalable Sampling Techniques for the Rigorous Approximation of Temporal Motif Counts"

4 / 4 papers shown
TIMEST: Temporal Information Motif Estimator Using Sampling Trees
TIMEST: Temporal Information Motif Estimator Using Sampling Trees
Yunjie Pan
Omkar Bhalerao
C. Seshadhri
Nishil Talati
165
0
0
27 Jul 2025
Efficient Approximate Temporal Triangle Counting in Streaming with Predictions
Efficient Approximate Temporal Triangle Counting in Streaming with Predictions
Giorgio Venturin
Ilie Sarpe
Fabio Vandin
AI4TS
234
0
0
16 Jun 2025
Everest: GPU-Accelerated System For Mining Temporal Motifs
Everest: GPU-Accelerated System For Mining Temporal MotifsProceedings of the VLDB Endowment (PVLDB), 2023
Yichao Yuan
Haojie Ye
S. Vedula
Wynn Kaza
Nishil Talati
346
13
0
04 Oct 2023
odeN: Simultaneous Approximation of Multiple Motif Counts in Large
  Temporal Networks
odeN: Simultaneous Approximation of Multiple Motif Counts in Large Temporal Networks
Ilie Sarpe
Fabio Vandin
151
13
0
19 Aug 2021
1
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