6 citations · 6 across the 3 of their papers we have counts for
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cs.LG2021
Graph Conditioned Sparse-Attention for Improved Source Code Understanding
Junyan Cheng, Iordanis Fostiropoulos, Barry Boehm
Transformer architectures have been successfully used in learning source code representations. The fusion between a graph representation like Abstract Syntax Tree (AST) and a sourc…
cs.LG2021★ 6 cited
GN-Transformer: Fusing Sequence and Graph Representation for Improved Code Summarization
Junyan Cheng, Iordanis Fostiropoulos, Barry Boehm
As opposed to natural languages, source code understanding is influenced by grammatical relationships between tokens regardless of their identifier name. Graph representations of s…