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arXiv cs.GR
arXiv cs.GR Research
8 months, 1 week ago • Lingkai Meng, Yu Shao, Long Yuan, Longbin Lai, Peng Cheng, Xue Li, Wenyuan Yu, Wenjie Zhang, Xuemin Lin, Jingren Zhou

Revisiting Graph Analytics Benchmark

Briefing

A new graph analytics benchmark has been proposed to tackle the shortcomings of existing evaluation methods. By focusing on eight core algorithms and creating eight new synthetic datasets, developers can expect a more robust assessment of platform performance. This benchmark also introduces a unique LLM-based framework for evaluating API usability, which is a first in the field.

For game developers, especially those involved in data-heavy applications, this benchmark could streamline the process of selecting the right graph analytics platform. The comprehensive evaluations conducted on popular platforms like GraphX and PowerGraph provide valuable insights into their performance, ultimately aiding developers in making informed decisions.

“Our proposed benchmark demonstrates superior performance evaluation.”

— Research Team · Discussing the effectiveness of the new benchmark.
Original source
Read on arXiv cs.GR
At a glance
what
Introduction of a new graph analytics benchmark
who
Developers from academic and industrial settings
impact
Improves performance evaluation for graph-based platforms
context
Addresses limitations in existing benchmarks
Signal Positive

The benchmark addresses key limitations and enhances evaluation methods.

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Discussion

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