zshwuhan

ACNE

Adversarial-Counterfactual-Learning-and-Evaluation-for-Recommender-System

Attentive-Group-Recommendation

Attentive Group Recommendation

causal-network-embeddings

Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"

data-sharing-examples

Code for examples in differentially private data sharing

DETM

DICE

ENMF

This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

GAN-regularization

Project exploring recent techniques for stabilizing Generative Adversarial Networks (GANs)

GraphRec-WWW19

Graph Neural Networks for Social Recommendation, WWW'19

HawkesClassification

hpfrec

Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.

ifl-tpp

Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)

IGMC

Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".

Infinite-Feature-Selection

Infinite Feature Selection: a Graph-based Feature Filtering Approach

Infinite_Multivariate_Categorical_Mixture_Model

An infinte multivariate categorical mixture model for cluster analysis of categorical data. Variational Inference and the mean field approximation implementation

Learn_Logic_Baseline

liblinear

Weston Watkins linear multiclass SVM extension for the popular LIBLINEAR library.

MF-MSI

Python implemantation of Matrix Factorization with Multimodal Side Information

MFPCA

Multi-dimensional Functional Principal Component Analysis

NeuRec

Next RecSys Library

NMFLibrary

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1

NMTF-1

Non-Negative Matrix Tri-Factorization for Co-clustering

poismf

(Python, R, C) Poisson matrix factorization (non-Bayesian version) (recommender systems)

POS-tagging

Generative and discriminative modeling approaches to part of speech tagging

pyprobml

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

smore

SMORe: Modularize Graph Embedding for Recommendation

svinet

This package implements algorithms for identifying overlapping communities in large undirected networks. The sampling based algorithms derive from stochastic variational inference under the (assortative) mixed-membership stochastic blockmodel. For details see the following reference: http://www.pnas.org/content/early/2013/08/14/1221839110.full.pdf

TiDeH

Time-Dependent Hawkes Process for Predicting Retweet Dynamics (Kobayashi & Lambiotte, ICWSM 2016)

VB-MixEF

Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"