Incremental Knowledge Graphs Constructor Using Large Language Models

深度学习入门教程, 优秀文章, Deep Learning Tutorial

This repo includes ChatGPT prompt curation to use ChatGPT better.

Acceptance rates for the major AI conferences

深度学习经典、新论文逐段精读

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

Structural Analysis and Detection of Android Malware

A large-scale database for graph representation learning

Official TensorFlow code for the paper "Efficient-CapsNet: Capsule Network with Self-Attention Routing".

links to conference publications in graph-based deep learning

Effects of packers on machine-learning-based malware classifiers that use only static analysis

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

ResGCN: an efficient baseline for skeleton-based human action recognition.

code and trained models for "Attentional Feature Fusion"

Representation Iterative Fusion Based on Heterogeneous Graph Neural Network for Joint Entity and Relation Extraction

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

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

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

深度学习车牌检测与识别，基于pytorch框架运行

The PyTorch implementation of LightGCN

Source Codes of HetSANN in the AAAI'20 paper: An Attention-based Graph Nerual Network for Heterogeneous Structural Learning.

用Resnet101+GPT搭建一个玩王者荣耀的AI

Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering

Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications

This repository is one of a few malware collections on the GitHub.