CnBDM-Su / Attention-driven-factor-model

Related projects ⓘ

Alternatives and complementary repositories for Attention-driven-factor-model

• dawenl / vae_cf
  Variational autoencoders for collaborative filtering
  ☆530Updated 6 years ago
• yihong-chen / neural-collaborative-filtering
  pytorch version of neural collaborative filtering
  ☆480Updated 4 months ago
• jiawei-chen / RecDebiasing
  This repository collects debiasing methods for recommendation
  ☆406Updated 9 months ago
• guoyang9 / BPR-pytorch
  A pytorch implementation for BPR (Bayesian Personalized Ranking).
  ☆137Updated 5 years ago
• hungpthanh / GRU4REC-pytorch
  An other implementation of GRU4REC using PyTorch
  ☆243Updated 3 years ago
• guoyang9 / NCF
  A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17
  ☆342Updated 3 years ago
• RuidongZ / Deep_Matrix_Factorization_Models
  Implementation of the "Deep Matrix Factorization Models for Recommender Systems"
  ☆205Updated 6 years ago
• cnclabs / smore
  SMORe: Modularize Graph Embedding for Recommendation
  ☆374Updated 2 years ago
• xiangwang1223 / neural_graph_collaborative_filtering
  Neural Graph Collaborative Filtering, SIGIR2019
  ☆806Updated 4 years ago
• kang205 / SASRec
  SASRec: Self-Attentive Sequential Recommendation
  ☆726Updated last year
• gtshs2 / Autorec
  Autorec (Autoencoders Meet Collaborative Filtering)
  ☆136Updated 6 years ago
• hoyeoplee / MeLU
  ☆178Updated 5 years ago
• hexiangnan / adversarial_personalized_ranking
  Adversarial Learning, Matrix Factorization, Recommendation
  ☆215Updated 5 years ago
• hidasib / GRU4Rec
  GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, p…
  ☆763Updated last year
• tsinghua-fib-lab / DICE
  The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)
  ☆150Updated 5 months ago
• daicoolb / RecommenderSystem-DataSet
  This repository contains some datasets that I have collected in Recommender Systems.
  ☆343Updated 3 years ago
• hexiangnan / neural_factorization_machine
  TenforFlow Implementation of Neural Factorization Machine
  ☆468Updated 4 years ago
• librahu / MCRec
  Source code for KDD 2018 paper "Leverage Meta-path based Context for Top-N Recommendation with a Neural Co-Attention Model"
  ☆128Updated 5 years ago
• younggyoseo / vae-cf-pytorch
  Variational Autoencoders for Collaborative Filtering - Implementation in PyTorch
  ☆130Updated 3 years ago
• pmixer / TiSASRec.pytorch
  https://github.com/JiachengLi1995/TiSASRec in PyTorch
  ☆83Updated 4 years ago
• Coder-Yu / SDLib
  A Python library used to collect shilling detection methods and generate simulated attackers. (for academic use)
  ☆58Updated 2 years ago
• rixwew / pytorch-fm
  Factorization Machine models in PyTorch
  ☆1,033Updated 7 months ago
• DeepGraphLearning / RecommenderSystems
  ☆1,102Updated 4 years ago
• LunaBlack / KGAT-pytorch
  ☆328Updated 2 years ago
• hexiangnan / attentional_factorization_machine
  TensorFlow Implementation of Attentional Factorization Machine
  ☆408Updated 6 years ago
• RaptorMai / Deep-AutoEncoder-Recommendation
  Keras implementation of AutoRec and DeepRecommender from Nvidia.
  ☆61Updated 4 years ago
• fuhailin / Probabilistic-Matrix-Factorization
  Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k |…
  ☆168Updated 5 years ago
• ydhuyong / DIN-pytorch
  Implementation based on pytorch for DIN recommendation algorithm
  ☆15Updated 4 years ago
• CRIPAC-DIG / SR-GNN
  [AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
  ☆821Updated 3 years ago
• HaojiHu / Sets2Sets
  Sequential sets to sequential sets learning
  ☆31Updated 2 years ago