most citedA new perspective on building efficient and expressive 3D equivariant graph neural networks

9 citations · 10 across the 4 of their papers we have counts for

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cs.DB2024

FuncEvalGMN: Evaluating Functional Correctness of SQL via Graph Matching Network

Yi Zhan, Yang Sun, Han Weng +7

In this paper, we propose a novel graph-based methodology to evaluate the functional correctness of SQL generation. Conventional metrics for assessing SQL code generation, such as…

cs.DB2024

Accelerating Regular Path Queries over Graph Database with Processing-in-Memory

Ruoyan Ma, Shengan Zheng, Guifeng Wang +4

Regular path queries (RPQs) in graph databases are bottlenecked by the memory wall. Emerging processing-in-memory (PIM) technologies offer a promising solution to dispatch and exec…