Back to papers
Mayura: Exploiting Similarities in Motifs for Temporal Co-Mining
Summary: Mayura co-mines temporal motifs by grouping similar motifs into a Motif-Group Tree that reuses common search paths to eliminate redundant computation. Co-mining with a CPU/GPU runtime yields exact counts and average speed-ups of 2.4x (CPU) and 1.7x (GPU) vs per-motif baselines.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 14206
- Venue
- VLDB
- Year
- 2025
- Pagerank
- 4.1945683e-05
- Overall Rank
- 10,850 | 24.52%
- DOI
-
10.14778/3773731.3773736
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 716 |
Query-based Workload Forecasting for Self-Driving Database Management Systems |
2018 |
SIGMOD |
0.00017723171 |
| 1,299 |
The DataPath System: A Data-Centric Analytic Processing Engine for Large Data Warehouses |
2010 |
SIGMOD |
0.00012751522 |
| 1,429 |
A Scalable, Predictable Join Operator for Highly Concurrent Data Warehouses |
2009 |
VLDB |
0.00012033518 |
| 1,795 |
MonetDB/XQuery: A Fast XQuery Processor Powered by a Relational Engine |
2006 |
SIGMOD |
0.00010526672 |
| 1,922 |
Selecting Subexpressions to Materialize at Datacenter Scale |
2018 |
VLDB |
0.00010082599 |
| 3,036 |
RapidMatch: A Holistic Approach to Subgraph Query Processing |
2021 |
VLDB |
7.6735171e-05 |
| 3,178 |
Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet |
2024 |
VLDB |
7.4325992e-05 |
| 3,429 |
Real-time Workload Pattern Analysis for Large-scale Cloud Databases |
2023 |
VLDB |
7.1010535e-05 |
| 3,703 |
Multi-Query Optimization in MapReduce Framework |
2014 |
VLDB |
6.8289978e-05 |
| 4,494 |
Multi-Query Optimization for Subgraph Isomorphism Search |
2017 |
VLDB |
6.1414196e-05 |
| 4,968 |
Efficient GPU-Accelerated Subgraph Matching |
2023 |
SIGMOD |
5.7956205e-05 |
| 8,783 |
GEqO: ML-Accelerated Semantic Equivalence Detection |
2023 |
SIGMOD |
4.452825e-05 |
| 11,012 |
Everest: GPU-Accelerated System For Mining Temporal Motifs |
2024 |
VLDB |
4.1945683e-05 |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 7,614 |
Mining Attribute-structure Correlated Patterns in Large Attributed Graphs |
2012 |
VLDB |
4.6947636e-05 |
| 10,848 |
Efficient Top-k Frequent Subgraph Mining Using Tight Upper and Lower Bounds |
2025 |
VLDB |
4.1945683e-05 |
| 9,057 |
Behavior Query Discovery in System-Generated Temporal Graphs |
2016 |
VLDB |
4.4039656e-05 |
| 5,245 |
Fast and Scalable Mining of Time Series Motifs with Probabilistic Guarantees |
2022 |
VLDB |
5.6067361e-05 |
| 3,009 |
Pangolin: An Efficient and Flexible Graph Mining System on CPU and GPU |
2020 |
VLDB |
7.7214924e-05 |
| 4,947 |
Efficient Temporal Pattern Mining in Big Time Series Using Mutual Information |
2022 |
VLDB |
5.8123636e-05 |
| 4,716 |
Mining Graph Patterns Efficiently via Randomized Summaries |
2009 |
VLDB |
5.9755569e-05 |
| 9,727 |
MatCo: Computing Match Cover of Subgraph Query over Graph Data |
2025 |
SIGMOD |
4.2942813e-05 |
| 10,258 |
TIMEST: Temporal Information Motif Estimator Using Sampling Trees |
2026 |
VLDB |
4.1945683e-05 |
| 11,012 |
Everest: GPU-Accelerated System For Mining Temporal Motifs |
2024 |
VLDB |
4.1945683e-05 |