SHGNN: Structure-Aware Heterogeneous Graph Neural Network

The source code and dataset of the paper: SHGNN: Structure-Aware Heterogeneous Graph Neural Network. Requirements The framework is implemented using python3 with dependencies specified in requirements.txt. git clone https://github.com/Wentao-Xu/SHGNN.git cd SHGNN conda create -n shgnn python=3.8 conda activate shgnn pip install -r requirements.txt Dataset preparation source prepare_data.sh tar -zxvf data.tar.gz mkdir checkpoint Running the code

Read more

Free,Cross-platform,Single-file mass network protocol server simulator

Free,Cross-platform,Single-file mass network protocol server simulator Description FaPro is a Fake Protocol Server tool, Can easily start or stop multiple network services. The goal is to support as many protocols as possible, and support as many deep interactions as possible for each protocol. Demo Site Features Supported Running Modes: Local Machine Virtual Network Supported Protocols: DNS DCE/RPC EIP Elasticsearch FTP HTTP IEC 104 Memcached Modbus

Read more

Nyx-Net: Network Fuzzing with Incremental Snapshots

Nyx-Net is fast full-VM snapshot fuzzer for complex network based targets. It’s built upon kAFL, Redqueen and Nyx. The approach is described in more detail in our paper. This repository is serving only to capture the state as described in the paper. If you want to actually use Nyx, check out the maintained code released for the Nyx framework or it’s Homepage. @misc{nyxnet, title={Nyx-Net: Network Fuzzing with Incremental Snapshots}, author={Sergej Schumilo and Cornelius Aschermann and Andrea Jemmett and Ali   […]

Read more

Compare neural networks by their feature similarity

A tiny package to compare two neural networks in PyTorch. There are many ways to compare two neural networks, but one robust and scalable way is using the Centered Kernel Alignment (CKA) metric, where the features of the networks are compared. Centered Kernel Alignment Centered Kernel Alignment (CKA) is a representation similarity metric that is widely used for understanding the representations learned by neural networks. Specifically, CKA takes two feature maps / representations X and Y as input and computes […]

Read more

CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP

Andreas Fürst* 1,Elisabeth Rumetshofer* 1,Viet Tran1,Hubert Ramsauer1,Fei Tang3,Johannes Lehner1,David Kreil2,Michael Kopp2,Günter Klambauer1,Angela Bitto-Nemling1,Sepp Hochreiter1 2 1 ELLIS Unit Linz and LIT AI Lab, Institute for Machine Learning, Johannes Kepler University Linz, Austria2 Institute of Advanced Research in Artificial Intelligence (IARAI)3 HERE Technologies* Equal contribution Detailed blog post on this paper at this link. The full paper is available here. This repository contains the implemenation of CLOOB used to obtain the results reported in the paper.The implementation is based on OpenCLIP, […]

Read more

Network automation Inventory manager

Welcome to Worktory’s documentation! Worktory is a python library created with the single purpose of simplifying the inventory management of network automation scripts. As the network automation ecosystem grows, several connection plugins and parsers are available, and several times choosing a library or a connection plugin restricts all the devices to the same connection method. Worktory tries to solve that problem giving the developer total flexibility for choosing the connector plugin and parsers for each device, at the same time […]

Read more

MEND: Fast Model Editing at Scale

Setup Environment This codebase uses Python 3.7.9. Other versions may work as well. Create a virtualenv (pyenv can help with this)and install the dependencies: $ python -m venv env $ source env/bin/activate (env) $ pip install -r requirements.txt Data You can download the data needed for this project fromthis Google Drive link.Unzip each sub-directory into mend/data and you should be good to go. Running the code Run MEND training/evaluation for distilGPT-2 on the wikitext editing problem with:

Read more

Graph Self-Attention Network for Learning Spatial-Temporal Interaction Representation in Autonomous Driving

Code for paper Graph Self-Attention Network for Learning Spatial-Temporal Interaction Representation in Autonomous Driving, which was published on IEEE Internet of Things Journal. @article{ye2021gsan, title={GSAN: Graph Self-Attention Network for Learning Spatial-Temporal Interaction Representation in Autonomous Driving}, author={Ye, Luyao and Wang, Zezhong and Chen, Xinhong and Wang, Jianping and Wu, Kui and Lu, Kejie}, journal={IEEE Internet of Things Journal}, year={2021}, publisher={IEEE} }    

Read more

α-Indirect Control in Onion-like Networks

We propose a fast, accurate, and scalable algorithm to detect ultimate controlling entities in global corporate networks. α-ICON uses company-participant links to identify super-holders who exert control in networks with millions of nodes. By exploiting onion-like properties of such networks we iteratively peel off the hanging vertices until a dense core remains. This procedure allows for a dramatic speed-up, uncovers meaningful structures, and handles circular ownership by design. Read our paper with the applications. As a toy example, consider the […]

Read more

A simple panel with IP, CNPJ, CEP and PLACA queries

Um painel simples com consultas de IP, CNPJ, CEP e PLACA Início🌐 apt update && apt upgrade -y pkg i python git pip install requests Instalação e acesso📲 git clone https://github.com/Swag666baby/Painel-mpm cd Painel-mpm python3 main.py Lindos que contribuiram para o painel❤️ Spyware GitHub https://github.com/Swag666baby/Painel-mpm    

Read more
1 2 3 4 7