132 Open source projects that are alternatives of or similar to GCMC

Lightweight Python library for in-memory matrix completion.

TypeDB-ML is the Machine Learning integrations library for TypeDB

WWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems

A configurable, tunable, and reproducible library for deep matching models

An index of recommendation algorithms that are based on Graph Neural Networks.

PyTorch implementation of our paper "Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing" (NAACL19)

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

推荐算法个人学习笔记以及代码实战

Recommender built using keras

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.

recommender system tutorial with Python

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

a data science blog

BPR, Bayesian Personalized Ranking (BPR), extremely convenient BPR & Multiple Pairwise Ranking

collaborative filtering in mysql

Code for the BMVC paper (http://bmvc2018.org/contents/papers/1003.pdf)

Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)

The implement of GNN based on Pytorch

Code and resources on scalable and efficient Graph Neural Networks

⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.

codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction

Solve many kinds of least-squares and matrix-recovery problems

Tutorials for Machine Learning on Graphs

Hetnets in Python (relocated from dhimmel/hetio)

Source code and dataset for paper "CBMR: An optimized MapReduce for item‐based collaborative filtering recommendation algorithm with empirical analysis"

Restricted Boltzmann Machine for collaborative filtering of movies.

ACL 2018: Dating Documents using Graph Convolution Networks

Chainer implementation of 'Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering' (https://arxiv.org/abs/1606.09375)

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

Building recommender systems in Julia

Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

Matlab library for gradient descent algorithms: Version 1.0.1

Tensorflow Implementation of the paper "Topology Adaptive Graph Convolutional Networks" (Du et al., 2017)

Quick-Data-Science-Experiments

Code for Learned Turbo-ype Affine Rank Minimization

Summary of social recommendation papers and codes

A reading list for deep graph learning acceleration.

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

Representation Learning on Graphs with Jumping Knowledge Networks

A tutorial & minimal example (8min on CPU) for Graph Convolutional Networks for Text Classification. AAAI 2019

Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper

A lightweight product recommendation system (Item Based Collaborative Filtering) developed in Haskell.

Some common recommendation system baseline, with description and link.

tf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow in order to utilize GPU acceleration.

A graph-based deep learning framework for life science

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

A list of data mining and machine learning papers that I implemented in 2019.

[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks

Towards open benchmarking for recommender systems https://openbenchmark.github.io/BARS

Data Science and Matrix Optimization course

PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.

Imputation method for scRNA-seq based on low-rank approximation

📖Notes and remarks on Machine Learning related papers

Disentagnled Graph Collaborative Filtering, SIGIR2020

Official repository for the paper "Learning Local Neighboring Structure for Robust 3D Shape Representation"

ProteinGCN: Protein model quality assessment using Graph Convolutional Networks

A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!

In this code we implement and compared Collaborative Filtering algorithm, prediction algorithms such as neighborhood methods, matrix factorization-based ( SVD, PMF, SVD++, NMF), and many others.

kNN-based next-basket recommendation