yzfxmu Goto Github PK

adagnn

Open-source code for ''Graph Neural Networks with Adaptive Frequency Response Filter''.

adasnn

Code for "Adaptive Subgraph Neural Network with Reinforced Critical Structure Mining"

anomaly-detection-ocgan-tensorflow

Tensorflow implementation of OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

antibenford-subgraphs

awesome-adversarial-machine-learning

A curated list of awesome adversarial machine learning resources

awesome-deep-graph-anomaly-detection

Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors

awesome-fraud-detection-papers

A curated list of data mining papers about fraud detection.

bringing-old-photos-back-to-life

Bringing Old Photo Back to Life (CVPR 2020 oral)

buzz

Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.

cagnn

care-gnn

Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

certifygnn

Source code of "Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation""

cola

🥤 COLA: Clean Object-oriented & Layered Architecture

cola-1

Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning (CoLA), TNNLS-21

conad

Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)

const-me-whisper

High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model

costa

Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning

dagmm

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

deepmmd-gan

Yet another (very simple) approach for adversarial training.

dgfraud

A Deep Graph-based Toolbox for Fraud Detection

dgg

Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embedding", In ICCV 2019.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dp-crosue

Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees

draggan

Official Code for DragGAN (SIGGRAPH 2023)

draggan-windows-gui

drl-dbscan

Code for DRL-DBSCAN

dropmessage

The implementation for DropMessage.

edits

Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".

evennet

Pytorch implementation of EvenNet.