zshwuhan's repositories

2DKS

2 Dimensional Kolmogorov-Smirnov test for goodness-of-fit

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BiGI

[WSDM 2021]Bipartite Graph Embedding via Mutual Information Maximization

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CHIP-Network-Model

Python implementation of the CHIP network model, published in NeurIPS 2020.

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CoDi

Community detection using diffusion information,ACM Transactions on Knowledge Discovery from Data (TKDD) 12.2 (2018): 1-22.

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collapsed-VB-inference-LDA

Project for the course of Bayesian Machine learning - Master MVA

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Contrastive-Clustering

Code for the paper "Contrastive Clustering" (AAAI 2021)

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cornac

A Comparative Framework for Multimodal Recommender Systems

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DDNE

"Inferring dynamic diffusion networks in online media." ACM Transactions on Knowledge Discovery from Data (TKDD) 10.4 (2016): 1-22.

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evolving-ggp

Evolving-Graph Gaussian Processes.

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ExCut

Implementation of ExCut: Explainable Embedding-based Clustering over Knowledge Graphs

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gaussianlda

Gaussian LDA training implemented in Python

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GCL

List of Publications in Graph Contrastive Learning

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Hawkes-1

a python package for simulation and inference of Hawkes processes.

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HDP-py

Python implementation of Hierarchical Dirichlet Processes

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hierarchical-models

Hierarchical Topic Models and Renyi Entropy: hARTM, hLDA, hPAM

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hsbm

Hierarchical stochastic block model (HSBM)

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lemniscate.pytorch

Unsupervised Feature Learning via Non-parametric Instance Discrimination

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liblinear

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

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msvmlab

Multiclass support vector machine in MATLAB.

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neural_stpp

Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domains.

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PCIC2021-Baselines

Some baselines for PCIC2021 Track 2: Causal Inference and Recommendation

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prgds

Poisson-Randomized Gamma Dynamical Systems

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StemGNN

Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

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stLDA-C_public

Single-topic LDA (DMM) with unsupervised clustering

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transformer-vae

A library for making Transformer Variational Autoencoders. (Extends the Huggingface/transformers library.)

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xmeasures

Extremely fast evaluation of the extrinsic clustering measures: various (mean) F1 measures and Omega Index (Fuzzy Adjusted Rand Index) for the multi-resolution clustering with overlaps/covers, standard NMI, clusters labeling

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