Pith. sign in

REVIEW 1 cited by

The LDBC Financial Benchmark

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2306.15975 v2 pith:AGGVX46H submitted 2023-06-28 cs.DB cs.PF

Shipeng Qi , Heng Lin , Zhihui Guo , Gábor Szárnyas , Bing Tong , Yan Zhou , Bin Yang , Jiansong Zhang
show 6 more authors
Zheng Wang Youren Shen Changyuan Wang Parviz Peiravi Henry Gabb Ben Steer
This is my paper · ORCID
classification cs.DBcs.PF
keywords benchmarkldbcdatafinancialfinbenchqueriesworkloaddetailed
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

The Linked Data Benchmark Council's Financial Benchmark (LDBC FinBench) is a new effort that defines a graph database benchmark targeting financial scenarios such as anti-fraud and risk control. The benchmark has one workload, the Transaction Workload, currently. It captures OLTP scenario with complex, simple read queries and write queries that continuously insert or delete data in the graph. Compared to the LDBC SNB, the LDBC FinBench differs in application scenarios, data patterns, and query patterns. This document contains a detailed explanation of the data used in the LDBC FinBench, the definition of transaction workload, a detailed description for all queries, and instructions on how to use the benchmark suite.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. MV4PG: Materialized Views for Property Graphs

    cs.DB 2024-11 reject novelty 4.0 of 10

    MV4PG proposes templated incremental maintenance for property graph views with variable-length edges, reporting up to 28.71x workload speedup on TuGraph but leaving a correctness fix to future work.

Pith tools