Minzc

subspace_outlier

awesome-adversarial-machine-learning

A curated list of awesome adversarial machine learning resources

ConPI

Source Code for WSDM 2021 paper, "Modeling Context Pair Interaction for Pairwise Tasks on Graphs"

federated_transformer_malicious_url

Federated Malicious URL Detection with Flower and Transformers

dgi_snippet

demo code for dgl weird consumption

EDITS

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

failing-loudly

Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.11953

FairAdj

Code for ICLR'2021 paper: On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections

FairGNN

A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (WSDM 2021)

fairtorch

PyTorch implementation of parity loss as constraints function to realize the fairness of machine learning.

Flexible-Fairness-Constraints

Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"

HackMentor

The repository of paper "HackMentor: Fine-Tuning Large Language Models for Cybersecurity".

knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

Knowledge_Graph_based_Intent_Network

Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021

minzc.github.io

Personal blog based on quarto

NAB

The Numenta Anomaly Benchmark

nifty

Code for paper https://arxiv.org/abs/2102.13186

OED

Outlier Detection for Time Series with Recurrent Autoencoder Ensembles

OpenAPI-1

Source code for OpenAPI

OpenHGNN

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

openingblackbox

Opening the Black Box How to Interpret Machine Learning Functions and Their Decisions

oscti-data

personal_website

Personal Website

Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions

Solutions of Reinforcement Learning, An Introduction

RELEARN

Relation learning on content-rich diffusion networks

ResearchNotes

Interpretable Machine Learning

TorchEASE

Implementation of Embarrassingly Shallow Autoencoders (Harald Steck) in PyTorch

vaal

Variational Adversarial Active Learning (ICCV 2019)

venmo-data

Venmo trasaction dataset for data analysis/visualization/anything

X-MedRELA

Source Code for ACL 2020 paper, "Rationalizing Medical Relation Prediction from Corpus-level Statistics"