googlebaba

KDD2019-MEIRec

KDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation

WWW2020-O2MAC

WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering

DisC

NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure

StableGNN

StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs

TNNLS2022-DGNN

Source code for "Debiased Graph Neural Networks with Agnostic Label Selection Bias"

GraphNOTEARS

AAAI23-Directed Acyclic Graph Structure Learning from Dynamic Graphs

CIKM2018-AEHE

bisai

CompreX

A parameter-free anomaly detection using pattern-based compression

dblp

Parse the dblp data into a structured format for experimentation.

dianbiao

GraRep

Source Code of GraRep

HERec

HRM

The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.

IJCAI2020-DCKM

Kernelized-HRM

The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".

LightGBM

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

LINE

LINE: Large-scale information network embedding

LSTM-autoencoder

TensorFlow LSTM-autoencoder implementation

mgcpy-old

MGCPY WILL NO LONGER BE UPDATED. THE NEW REPO CAN BE FOUND HERE:

MyXGB

pybrain

pylof

Python implementation of Local Outlier Factor algorithm.

scikit-learn

scikit-learn: machine learning in Python

seaborn

Statistical data visualization using matplotlib

spark-sklearn

Scikit-learn integration package for Spark

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

unsupervised-videos

Unsupervised Learning of Video Representations using LSTMs

WWW20-O2MAC