A modular graph-based Retrieval-Augmented Generation (RAG) system

Official Implementation of ICLR 2024 paper: "Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning"

A framework to empover LLMs on graph reasoning and generation. Refer to our paper: https://arxiv.org/pdf/2402.08785.pdf

Xiangguo Sun et al. Heterogeneous Hypergraph Embedding for Graph Classification, WSDM2021

dataset

Strategies for Pre-training Graph Neural Networks

GHGDroid : Global Heterogeneous Graph-based Android Malware Detection

A wayland native, highly customizable runner.

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

pefile is a Python module to read and work with PE (Portable Executable) files

Cuckoo3 is a Python 3 open source automated malware analysis system.

Hypergraph Neural Networks (AAAI 2019)

Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).

NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs

A pytorch library for graph and hypergraph computation.

[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"

[KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"

Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon Open Dataset for Malware AnalysiS.

Dataset with labeled benign and malicious files 🗃️

LLMDFA: Analyzing Dataflow in Code with Large Language Models (NeurIPS 2024)

Official implementation of Prompt Engineering-assisted Malware Dynamic Analysis Using GPT-4

A repository of LIVE malwares for your own joy and pleasure. theZoo is a project created to make the possibility of malware analysis open and available to the public.

Use with caution

SEED Labs developed in the last 20 years.

LaTeX style for Python highlighting