Alternatives and similar repositories for Deep-Deconf

Users that are interested in Deep-Deconf are comparing it to the libraries listed below

• yaochenzhu / PSF-VAE
  (KDD'23) Official codes of "Path-Specific Counterfactual Fairness for Recommender System (PSF-VAE)".
  ☆11Updated last year
• CDboyOne / IHGNN
  PyTorch implementation of Interactive Hypergraph Neural Network for Personalized Product Search (IHGNN)
  ☆24Updated 3 years ago
• ruizhang-ai / HIRS-Detecting_Arbitrary_Order_Beneficial_Feature_Interactions_for_Recommender_Systems
  Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems, KDD 2022
  ☆25Updated 2 years ago
• rutgerswiselab / AutoLossGen
  AutoLossGen: Automatic Loss Function Generation for Recommender Systems
  ☆22Updated 3 years ago
• lileipisces / NETE
  CIKM'20, Generate Neural Template Explanations for Recommendation
  ☆22Updated 4 months ago
• BUPT-GAMMA / THIGE
  The source will be uploaded recently
  ☆14Updated 4 years ago
• pd90506 / AMCF
  Explainable recommendation via interpretable feature mapping
  ☆18Updated 5 years ago
• LARS-research / DiffMG
  [KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks
  ☆30Updated 3 years ago
• anzhang314 / BC-Loss
  Official code of "Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering" (2022 NeurIPS)
  ☆22Updated 2 years ago
• dudwns511 / MvFS_CIKM23
  ☆12Updated last year
• WenjieWWJ / DecRS
  Deconfounded Recommendation for Alleviating Bias Amplification
  ☆45Updated 3 years ago
• BetsyHJ / DANCER
  ☆9Updated 3 years ago
• TempSDU / STEAM
  ☆10Updated 2 years ago
• lqfarmer / CCDR
  ☆23Updated 2 years ago
• lileipisces / NRT
  (PyTorch re-implementation) Neural Rating Regression with Abstractive Tips Generation for Recommendation, SIGIR'17
  ☆11Updated 4 months ago
• junkangwu / Adap_tau
  [WWW 2023] Official code of "Adap-$\tau$: Adaptively Modulating Embedding Magnitude for Recommendation"
  ☆29Updated last year
• jerryhao66 / Pretrain-Recsys
  ☆34Updated 4 years ago
• YushenLi807 / WWW24-RAT
  The code for the paper "RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction" (WWW 24 short paper)
  ☆32Updated last year
• HKUDS / SimRec
  [WWW'23] "SimRec: Graph-less Collaborative Filtering"
  ☆32Updated 2 years ago
• salesforce / SRMA
  Contrastive Learning with Model Augmentation
  ☆17Updated 2 years ago
• wyqing20 / PFRec
  This is the source code of PFRec
  ☆14Updated 2 years ago
• HKUDS / GTE
  [CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"
  ☆19Updated last year
• AIM-SE / AC-TSR
  Official code for paper "Attention Calibration for Transformer-based Sequential Recommendation"
  ☆15Updated last year
• layer6ai-labs / HGCF
  Code for the WWW'21 paper "HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering"
  ☆51Updated 3 years ago
• JimLiu96 / MITGNN
  Repo for paper Basket Recommendation with Multi-Intent Translation Graph Neural Network
  ☆16Updated 3 years ago
• fuyuanlyu / AutoFS-in-CTR
  This repository is contains several Automated feature selection methods in CTR Predicition.
  ☆9Updated 2 years ago
• Qcactus / CPR
  TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)
  ☆43Updated last year
• Linxyhaha / COR
  Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)
  ☆16Updated last year
• XuChen0427 / Dually-Enhanced-Propensity-Score-Estimation-in-Sequential-Recommendation
  The implementation of paper Dually Enhanced Propensity Score Estimation in Sequential Recommendation in CIKM2022
  ☆11Updated 2 years ago
• Ethan00Si / Instrumental-variables-for-recommendation
  The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"
  ☆30Updated 2 years ago