2 citations · 3 across the 7 of their papers we have counts for
7 papers
Revisiting Graph Analytics Benchmark
Lingkai Meng, Yu Shao, Long Yuan +7
The rise of graph analytics platforms has led to the development of various benchmarks for evaluating and comparing platform performance. However, existing benchmarks often fall sh…
OSS-UAgent: An Agent-based Usability Evaluation Framework for Open Source Software
Lingkai Meng, Yu Shao, Long Yuan +6
Usability evaluation is critical to the impact and adoption of open source software (OSS), yet traditional methods relying on human evaluators suffer from high costs and limited sc…
A Graph-native Optimization Framework for Complex Graph Queries
Bingqing Lyu, Xiaoli Zhou, Longbin Lai +4
This technical report extends the SIGMOD 2025 paper "A Modular Graph-Native Query Optimization Framework" by providing a comprehensive exposition of GOpt's advanced technical mecha…
Towards a Converged Relational-Graph Optimization Framework
Yunkai Lou, Longbin Lai, Bingqing Lyu +5
The recent ISO SQL:2023 standard adopts SQL/PGQ (Property Graph Queries), facilitating graph-like querying within relational databases. This advancement, however, underscores a sig…
A Survey of Distributed Graph Algorithms on Massive Graphs
Lingkai Meng, Yu Shao, Long Yuan +7
Distributed processing of large-scale graph data has many practical applications and has been widely studied. In recent years, a lot of distributed graph processing frameworks and…
A Modular Graph-Native Query Optimization Framework
Bingqing Lyu, Xiaoli Zhou, Longbin Lai +4
Complex Graph Patterns (CGPs), which combine pattern matching with relational operations, are widely used in real-world applications. Existing systems rely on monolithic architectu…
GraphScope Flex: LEGO-like Graph Computing Stack
Tao He, Shuxian Hu, Longbin Lai +18
Graph computing has become increasingly crucial in processing large-scale graph data, with numerous systems developed for this purpose. Two years ago, we introduced GraphScope as a…