MalNet

Introduced by Freitas et al. in A Large-Scale Database for Graph Representation Learning

MalNet is a large public graph database, representing a large-scale ontology of software function call graphs. MalNet contains over 1.2 million graphs, averaging over 17k nodes and 39k edges per graph, across a hierarchy of 47 types and 696 families.

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Benchmarks

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Trend	Task	Dataset Variant	Best Model	Paper	Code
	Malware Detection	MalNet	Sherlock
	Graph Classification	MalNet-Tiny	Exphormer
	Malware Type Detection	MalNet	SHERLOCK
	Malware Family Detection	MalNet	SHERLOCK

Papers

Paper	Code	Results	Date	Stars

Dataset Loaders

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Tasks

Malware Family Detection

Similar Datasets

Long Range Graph Benchmark (LRGB)

AndroZoo

Source: Expore MalNet.

Usage

License

Unknown

Modalities

Graphs

Languages