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Abstract: Automated source code vulnerability detection using code graphs has seen major improvements in recent years, however one critical, but oft-overlooked, element of this problem is producing ...

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Abstract: In recent years, graph neural networks have emerged as a prominent framework for semi-supervised learning of graph-structured data. However, conventional GNN models heavily depend on labeled ...