ZLN-99
Follow
Stars
GAN / AUTOENCODER for network intrusion detection using NSL-KDD dataset: https://www.kaggle.com/datasets/hassan06/nslkdd
Detecting and classifying wireless attacks using Machine Learning Models on AWID dataset
The final project for my graduate level Data Mining course
A conditional Wasserstein Generative Adversarial Network with gradient penalty (cWGAN-GP) for stochastic generation of galaxy properties in wide-field surveys
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs (IJCNN2021)
Hyperbolic Graph Convolutional Networks in PyTorch.
Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
[ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
Implementation of "Distribution Alignment: A Unified Framework for Long-tail Visual Recognition"(CVPR 2021)
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
A study on Deep Learning and Graph Neural Network for Intrusion Detection and Prevention (CNN, VAE, GNN,...)
Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification (ICLR'22)
A high-dimensional Kolmogorov-Smirnov distance for comparing high dimensional distributions
A decentralized, trusted, high performance, SQL database with blockchain features
[ICML 2022] Local Augmentation for Graph Neural Networks
Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
Graph Neural Network Library for PyTorch