Compositionality-Aware Graph2Seq Learning

1 code implementation • 28 Jan 2022 • Takeshi D. Itoh, Takatomi Kubo, Kazushi Ikeda

It is expected that the compositionality in a graph can be associated to the compositionality in the output sequence in many graph2seq tasks.

Code Summarization Source Code Summarization

Multi-Level Attention Pooling for Graph Neural Networks: Unifying Graph Representations with Multiple Localities

no code implementations • 2 Mar 2021 • Takeshi D. Itoh, Takatomi Kubo, Kazushi Ikeda

It has an attention pooling layer for each message passing step and computes the final graph representation by unifying the layer-wise graph representations.

Graph Classification

Towards Generation of Visual Attention Map for Source Code

no code implementations • 14 Jul 2019 • Takeshi D. Itoh, Takatomi Kubo, Kiyoka Ikeda, Yuki Maruno, Yoshiharu Ikutani, Hideaki Hata, Kenichi Matsumoto, Kazushi Ikeda

Program comprehension is a dominant process in software development and maintenance.