Official Implementation of "LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks"

Last update: Dec 28, 2022

Related tags

Deep Learning LUNAR

Overview

LUNAR

Official Implementation of "LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks"

Adam Goodge, Bryan Hooi, Ng See Kiong and Ng Wee Siong (AAAI2022)

Files

main.py
variables.py : hyperparameters
utils.py : functions for loading datasets, pre-processing, graph construction, negative-sampling
LUNAR.py : GNN model and training procedure
requirements.txt : packages for virtualenv
data.zip : files for the HRSS dataset
saved_models.zip : pretrained LUNAR models for HRSS with neighbour count k = 100 and "Mixed" negative sampling

Data

MI-F/MI-V: https://www.kaggle.com/shasun/tool-wear-detection-in-cnc-mill
OPTDIGITS/PENDIGITS/SATELLITE/SHUTTLE/THYROID: http://odds.cs.stonybrook.edu

Experiments

Firstly, extract data.zip

To replicate the results on the HRSS dataset with neighbour count k = 100 and "Mixed" negative sampling scheme

Extract saved_models.zip
Run:

python3 main.py --dataset HRSS --samples MIXED --k 100

To train a new model:

Run:

python3 main.py --dataset HRSS --samples MIXED --k 100 --train_new_model

Citation

TBC

Official Implementation of "LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks"

Related tags

Overview

LUNAR

Official Implementation of "LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks"

Files

Data

Experiments

Citation

Owner

Adam Goodge

Code for "Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance" at NeurIPS 2021

RoMA: Robust Model Adaptation for Offline Model-based Optimization

Semantic Segmentation with Pytorch-Lightning

[NeurIPS 2020] Official Implementation: "SMYRF: Efficient Attention using Asymmetric Clustering".

DSL for matching Python ASTs

Unofficial implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" (https://arxiv.org/abs/2103.14030)

Code for our ICCV 2021 Paper "OadTR: Online Action Detection with Transformers".

The official code repo of "HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection"

This reposityory contains the PyTorch implementation of our paper "Generative Dynamic Patch Attack".

Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition

Official implementation of GraphMask as presented in our paper Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking.

SW components and demos for visual kinship recognition. An emphasis is put on the FIW dataset-- data loaders, benchmarks, results in summary.

AVD Quickstart Containerlab

PyTorch implementation of: Michieli U. and Zanuttigh P., "Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations", CVPR 2021.

Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)

PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)

A tutorial on DataFrames.jl prepared for JuliaCon2021

Official code for "Mean Shift for Self-Supervised Learning"

Aircraft design optimization made fast through modern automatic differentiation

Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"