A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds (KDD'23)

Implementation of Graph Convolutional Networks in TensorFlow

A distributed graph deep learning framework.

Latex code for making neural networks diagrams

Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data

PyTorch implementation of "Simple and Deep Graph Convolutional Networks"

A PyTorch implementation of of E-GraphSAGE.

Python面试宝典2020版

A time-resolved clustering method

论文写作与资料分享

Main Sigma Rule Repository

VF3 Algorithm - The fastest algorithm to solve subgraph isomorphism on large and dense graphs

A solver for subgraph isomorphism problems, based upon a series of papers by subsets of McCreesh, Prosser, and Trimble.

Scripts to generate and analyze the AIT alert data set (AIT-ADS)

Original implementation and resources of DeepCASE as in the S&P '22 paper

SecGPT网络安全大模型

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

改进的k-prototypes聚类算法

Python implementation of 2004 paper

Rule Extraction from Unsupervised Anomaly Detection in Security

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

Flow stability framework for dynamic community detection in temporal networks

Code for “FS-Net: A Flow Sequence Network For Encrypted Traffic Classification”

Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation (NDSS'23).

Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis