13 citations · 17 across the 8 of their papers we have counts for
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cs.CR2022
Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph Representation Learning
Maya Kapoor, Joshua Melton, Michael Ridenhour +3
Complex heterogeneous dynamic networks like knowledge graphs are powerful constructs that can be used in modeling data provenance from computer systems. From a security perspective…
cs.LG2022★ 1 cited
Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks
Joshua Melton, Michael Ridenhour, Siddharth Krishnan
Graph Convolutional Neural Networks (GCNs) have become effective machine learning algorithms for many downstream network mining tasks such as node classification, link prediction,…