Alternatives and similar repositories for PCIC2021-Baselines

Users that are interested in PCIC2021-Baselines are comparing it to the libraries listed below

• RyanWangZf / CVIB-Rec
  Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.
  ☆28Updated 4 years ago
• zyang1580 / PDA
  This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…
  ☆107Updated 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"
  ☆31Updated 2 years ago
• zealscott / Causality4Rec_Paperlist
  This repository collects recent top papers about causal inference for recommendation. We will keep updating the paper list weekly.
  ☆16Updated 3 years ago
• qinjr / RIM
  code for RIM
  ☆22Updated 2 years ago
• waterhorse1 / MELU_pytorch
  An unofficial pytorch implementation of MELU
  ☆46Updated last year
• racp-submission / racp
  ☆15Updated 4 years ago
• WenjieWWJ / DecRS
  Deconfounded Recommendation for Alleviating Bias Amplification
  ☆46Updated 4 years ago
• CYBruce / MAXP-DGL-solutions
  ☆21Updated 3 years ago
• ChuXiaokai / baidu_ultr_dataset
  an unbias-learning-to-rank dataset of Baidu
  ☆65Updated last year
• lileipisces / PEPLER
  TOIS'23, Personalized Prompt Learning for Explainable Recommendation
  ☆131Updated 9 months ago
• pd90506 / AMCF
  Explainable recommendation via interpretable feature mapping
  ☆19Updated 5 years ago
• dingjingtao / SRNS
  Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"
  ☆35Updated 2 years ago
• Applied-Machine-Learning-Lab / M3oE
  Code for SIGIR 2024 paper: M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
  ☆42Updated last year
• ytchx1999 / MAXP_DGL_Graph
  MAXP 命题赛 任务一：基于DGL的图机器学习任务。队伍：Graph@ICT，🥉rank6。https://www.biendata.xyz/competition/maxp_dgl/
  ☆29Updated 3 years ago
• yusanshi / DKN
  An implementation of DKN (Deep Knowledge-Aware Network for News Recommendation) in PyTorch.
  ☆51Updated 5 years ago
• langgege-cqu / maxp_dgl
  2021MXAP-DGL rank2
  ☆35Updated 3 years ago
• dingjingtao / ReinforceNS
  ☆41Updated 6 years ago
• allanchen95 / IJCAI-21-WhoIsWho-baseline
  ☆13Updated 4 years ago
• gzy-rgb / CauseRec
  ☆33Updated 3 years ago
• aaronwtr / cfrnet-reproduction
  Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causa…
  ☆18Updated 3 years ago
• SongDark / Mecos-tf
  Meta-learning-based Cold-Start Sequential Recommendation
  ☆16Updated 4 years ago
• lileipisces / NETE
  CIKM'20, Generate Neural Template Explanations for Recommendation
  ☆23Updated 9 months ago
• kailiang-zhong / DESCN
  Implementation of paper DESCN, which is accepted in SIGKDD 2022.
  ☆98Updated last year
• dpoqb / wechat_big_data_baseline_pytorch
  ☆90Updated 4 years ago
• siyongxu / GNUD
  Source code for ACL 2020 paper “Graph Neural News Recommendation with Unsupervised Preference Disentanglement”
  ☆61Updated 4 years ago
• chongminggao / KuaiRec
  KwaiRec: A Fully-observed Dataset for Recommender Systems.
  ☆174Updated 9 months ago
• Applied-Machine-Learning-Lab / RMTL
  ☆28Updated last year
• joe817 / Name-Disambiguation-Biendata-
  2019 Biendata竞赛平台“OAG–WhoIsWho 同名消歧竞赛 赛道一”消歧比赛，第一名解决方案
  ☆38Updated 4 years ago
• ChrisCN97 / DSSM-Pytorch
  Pytorch Implementation of DSSM (Deep Structured Semantic Models)
  ☆56Updated 5 years ago