Exploring Applying Deep Graph Representation Learning To The Malware Graph
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- Author: Bryan Perozzi, Computer Science Department, Stony Brook University Abstract: We present HARP, a novel method for ...
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- Session language – English Target audience – Security Experts, Data Scientists In the world of
- SFU Data Science Research Group presents Seminar Series on Trustworthy Data Science and AI
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In-Depth Information on Applying Deep Graph Representation Learning To The Malware Graph
CAMLIS 2019, Bayan Bruss Structural Graph representation learning for National Security Applications and Beyond Recent Advances and Open Challenges Slide link: http://snap.stanford.edu/class/cs224w-2018/handouts/09-node2vec.pdf.
Presentation By Mateo Neira Álvarez from UCL for the Data Learning working group on '
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