A collection of AWESOME things about Graph-Related LLMs.

A resource repository for 3D machine learning

Create scene compatible with Sionna Ray Tracing

Usenix Security'23

Have fun with audit log analysis :)

Datasets used in the StreamSpot experiments

Implementation of TransE model in PyTorch.

An Open-Source Package for Knowledge Embedding (KE)

APT-KGL: An Intelligent APT Detection System Based on Threat Knowledge and Heterogeneous Provenance Graph Learning

This repository contains de code and instructions to train the models and prepare the datasets for the experiments in the paper "Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural N…

Sionna: An Open-Source Library for Next-Generation Physical Layer Research

This repository contains the code and data of the paper titled "SPEC5G: A Dataset for 5G Cellular Network Protocol Analysis" published at AACL 2023.

Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.

Curated list of data science interview questions and answers

List of papers studying machine learning through the lens of category theory

[NeurIPS'22] Learning to Configure Computer Networks with Neural Algorithmic Reasoning

Fast, accurate WGS84 ⬅️➡️ OSGB36 (OSTN15) conversion, using Python and Rust

This repository is a collection of machine learning models for computer networks.

PPO implementation of the DRL agent used in the paper "Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case"

Code used in the paper "ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning". In this paper, the DRL agent is implemented with the PPO algorithm

Clear implementation of arithmetic coding for educational purposes in Java, Python, C++.

base65536 Python 2 and 3 implementation.