A malware detection model based on imbalanced heterogeneous graph embeddings

Research article (Expert Systems with Applications, 2024) · cited 33× · AI/ML
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A malware detection model based on imbalanced heterogeneous graph embeddings

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A malware detection model based on imbalanced heterogeneous graph embeddings is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A malware detection model based on imbalanced heterogeneous graph embeddings. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-malware-detection-model-based-on-imbalanced-heterogeneous-graph-embeddings
MLA “A malware detection model based on imbalanced heterogeneous graph embeddings.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-malware-detection-model-based-on-imbalanced-heterogeneous-graph-embeddings.
BibTeX @misc{4ortxyz_a-malware-detection-model-based-on-imbalanced-heterogeneous-graph-embeddings_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A malware detection model based on imbalanced heterogeneous graph embeddings}}, year = {2026}, url = {https://4ort.xyz/entity/a-malware-detection-model-based-on-imbalanced-heterogeneous-graph-embeddings}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A malware detection model based on imbalanced heterogeneous graph embeddings — https://4ort.xyz/entity/a-malware-detection-model-based-on-imbalanced-heterogeneous-graph-embeddings (retrieved 2026-05-24)

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