May 12, 2022 · To tackle this problem, we propose a graph neural network (GNN)-based model with a novel salient information selection layer.
Suggesting method names based on graph neural network with salient information modelling · Li Kuang, Fan Ge, Lingyan Zhang · Published in Expert Syst. J. Knowl.
Suggesting method names based on graph neural network with salient information modelling · Li Kuang, Fan Ge, Lingyan Zhang · Send Feedback · BibTeX Record.
Descriptive method names have a great impact on improving program readability and facilitating software maintenance. Recently, due to high similarity ...
Title: Suggesting method names based on graph neural network with salient information modelling. ; Authors: Li Kuang, Fan Ge, Lingyan Zhang ; Authorids: Li Kuang, ...
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Fan Ge's 4 research works with 15 citations, including: Suggesting method names based on graph neural network with salient information modelling.
We exploit a hierarchical attention network to learn the representation of methods. Specifically, we apply two-level attention mechanism to learn the ...
Suggesting method names based on graph neural network with salient information modelling · Li KuangFan GeLingyan Zhang. Computer Science. Expert Syst. J. Knowl ...
Nov 24, 2021 · We here present a streamlined, explainable graph convolutional neural network (gCNN) architecture for small molecule activity prediction.
Mar 20, 2021 · For the keywords extraction task, we apply a graph neural network based model to extract the keywords from source code. For the method name ...