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Data Augmentation in Training Deep Learning Models for Malware Family Classification.

, , , and . ICMLC, page 1-6. IEEE, (2021)

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RotatGAT: Learning Knowledge Graph Embedding with Translation Assumptions and Graph Attention Networks., , , , , and . IJCNN, page 1-7. IEEE, (2022)Improving Knowledge Graph Embedding Using Dynamic Aggregation of Neighbor Information., , , , , and . ICONIP (4), volume 1791 of Communications in Computer and Information Science, page 513-525. Springer, (2022)Data Augmentation in Training Deep Learning Models for Malware Family Classification., , , and . ICMLC, page 1-6. IEEE, (2021)Enhancing recommendations with contrastive learning from collaborative knowledge graph., , , , , , and . Neurocomputing, (2023)RotatSAGE: A Scalable Knowledge Graph Embedding Model Based on Translation Assumptions and Graph Neural Networks., , and . DMBD (1), volume 1744 of Communications in Computer and Information Science, page 93-104. Springer, (2022)Temporal knowledge graph reasoning based on evolutional representation and contrastive learning., , , , , , , and . Appl. Intell., 54 (21): 10929-10947 (November 2024)A knowledge graph completion model based on contrastive learning and relation enhancement method., , , , , , , and . Knowl. Based Syst., (2022)A Model for Detecting Malware Adversarial Samples Based on Anomaly Detection Technology., , and . AHPCAI, volume 3331 of CEUR Workshop Proceedings, page 75-84. CEUR-WS.org, (2022)