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Found 4 papers, 2 papers with code
graph2vec: Learning Distributed Representations of Graphs
Recent works on representation learning for graph structured data predominantly focus on learning distributed representations of graph substructures such as nodes and subgraphs.
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Malware Detection
on Android Malware Dataset
Context-aware, Adaptive and Scalable Android Malware Detection through Online Learning (extended version)
Contrary to this fact, most of the prior works on Machine Learning based Android malware detection have assumed that the distribution of the observed malware characteristics (i. e., features) does not change over time.
A Multi-view Context-aware Approach to Android Malware Detection and Malicious Code Localization
Most of the existing malware detection approaches use only one (or a selected few) of the aforementioned feature sets which prevent them from detecting a vast majority of attacks.
subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs
Also, we show that the subgraph vectors could be used for building a deep learning variant of Weisfeiler-Lehman graph kernel.
