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Vulnerability detection in Java source code using a quantum convolutional neural network with self-attentive pooling, deep sequence, and graph-based hybrid feature extraction
Research article (Scientific Reports, 2024) · cited 14× · AI/ML
Vulnerability detection in Java source code using a quantum convolutional neural network with self-attentive pooling, deep sequence, and graph-based hybrid feature extraction
Summary
Vulnerability detection in Java source code using a quantum convolutional neural network with self-attentive pooling, deep sequence, and graph-based hybrid feature extraction is a scholarly article[1].
Key Facts
Vulnerability detection in Java source code using a quantum convolutional neural network with self-attentive pooling, deep sequence, and graph-based hybrid feature extraction's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Vulnerability detection in Java source code using a quantum convolutional neural network with self-attentive pooling, deep sequence, and graph-based hybrid feature extraction. Retrieved May 24, 2026, from https://4ort.xyz/entity/vulnerability-detection-in-java-source-code-using-a-quantum-convolutional-neural-network-with-self-attentive-pooling-dee
MLA“Vulnerability detection in Java source code using a quantum convolutional neural network with self-attentive pooling, deep sequence, and graph-based hybrid feature extraction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/vulnerability-detection-in-java-source-code-using-a-quantum-convolutional-neural-network-with-self-attentive-pooling-dee.
BibTeX@misc{4ortxyz_vulnerability-detection-in-java-source-code-using-a-quantum-convolutional-neural-network-with-self-attentive-pooling-dee_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Vulnerability detection in Java source code using a quantum convolutional neural network with self-attentive pooling, deep sequence, and graph-based hybrid feature extraction}}, year = {2026}, url = {https://4ort.xyz/entity/vulnerability-detection-in-java-source-code-using-a-quantum-convolutional-neural-network-with-self-attentive-pooling-dee}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Vulnerability detection in Java source code using a quantum convolutional neural network with self-attentive pooling, deep sequence, and graph-based hybrid feature extraction — https://4ort.xyz/entity/vulnerability-detection-in-java-source-code-using-a-quantum-convolutional-neural-network-with-self-attentive-pooling-dee (retrieved 2026-05-24)
