Abstract: Graph Neural Networks (GNNs) have demonstrated strong potential for identifying software vulnerabilities by leveraging the structured representation of code as graphs. In this paper, we ...
We have identified that although the scatter and segment operations are cornerstone in the construction of geometric deep learning systems, current deep learning frameworks have not optimized it ...
AutoG is a novel framework that addresses the critical challenge of automatically constructing high-quality graphs from tabular data for graph machine learning (GML) applications. While GML has seen ...
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