Alternatives and similar repositories for PEVAE

Users that are interested in PEVAE are comparing it to the libraries listed below

• lileipisces / Sentires-Guide
  A quick guide to Sentires: Phrase-level Sentiment Analysis toolkit, SIGIR'14
  ☆37Updated 5 months ago
• chrisjtan / counter
  Counterfactual Explainable Recommendation
  ☆48Updated 3 years ago
• evison / Sentires
  Sentires: A Toolkit for Phrase-level Sentiment Analysis
  ☆52Updated 3 years ago
• lileipisces / PEPLER
  TOIS'23, Personalized Prompt Learning for Explainable Recommendation
  ☆130Updated 5 months ago
• rutgerswiselab / user-fairness
  User-oriented Fairness in Recommendation
  ☆28Updated 3 years ago
• RyanWangZf / CVIB-Rec
  Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.
  ☆28Updated 4 years ago
• Andrewyan123 / NS-ICF
  The code of WWW 2022 paper "Neuro-Symbolic Interpretable Collaborative Filtering for Attribute-based Recommendation".
  ☆17Updated last year
• liyongqi67 / ALPINE
  ☆20Updated 4 years ago
• JiachengLi1995 / Recformer
  Codebase for KDD 2023 paper, Text Is All You Need: Learning Language Representations for Sequential Recommendation
  ☆64Updated last year
• WenjieWWJ / DenoisingRec
  Adaptive Denoising Training (ADT) for Recommendation.
  ☆71Updated 3 years ago
• Abigale001 / h2seqrec
  ☆14Updated last year
• REASONER2023 / reasoner2023.github.io
  ☆60Updated last year
• duynguyen-0203 / miner
  MINER: Multi-Interest Matching Network for News Recommendation
  ☆22Updated 2 years ago
• HestiaSky / GWCDR
  Repo of CIKM2022 Paper Gromov-Wasserstein Guided Representation Learning forCross-Domain Recommendation
  ☆8Updated 2 years ago
• zyang1580 / PDA
  This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…
  ☆105Updated 2 years ago
• chenchongthu / Recommendation-Unlearning
  ☆41Updated last year
• cjx96 / DisenCDR
  [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation
  ☆39Updated 3 years ago
• HeYueThu / CausPref
  Code of paper "CAUSPref: Causal Preference Learning for Out-of-Distribution Recommendation" (the WebConf22)
  ☆18Updated 3 years ago
• AaronHeee / Query-SeqRec
  PyTorch Implementation of Query-Aware Sequential Recommendation (CIKM'22)
  ☆12Updated 2 years ago
• lileipisces / EXTRA
  SIGIR'21, EXTRA: Explanation Ranking Datasets for Explainable Recommendation
  ☆31Updated 5 months ago
• hamedrab / FOREC
  The implementation of our CIKM 2021 paper titled as: "Cross-Market Product Recommendation"
  ☆19Updated 3 years ago
• TobyGE / FCPO
  code for ‘Towards Long-term Fairness in Recommendation’
  ☆23Updated last year
• WenjieWWJ / DecRS
  Deconfounded Recommendation for Alleviating Bias Amplification
  ☆45Updated 4 years ago
• fuyuanlyu / OptFS
  This repository contains PyTorch implemenation of WWW 2023 research paper: Optimizing Feature Set for Click-through Rate Prediction.
  ☆10Updated last year
• RUCAIBox / WSDM2022-C2CRS
  ☆20Updated 3 years ago
• dingjingtao / SRNS
  Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"
  ☆35Updated 2 years ago
• fajieyuan / cross-domain-recommendation
  cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets
  ☆44Updated last year
• gzy-rgb / CauseRec
  ☆32Updated 3 years ago
• RUCAIBox / VQ-Rec
  [WWW'23] PyTorch implementation for "Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders".
  ☆78Updated 2 years ago
• RUCAIBox / UniSRec
  [KDD'22] Official PyTorch implementation for "Towards Universal Sequence Representation Learning for Recommender Systems".
  ☆193Updated last year