Alternatives and similar repositories for AutoWeakS

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

• RUCAIBox / Multi-View-Co-Teaching
  Code for our CIKM 2020 paper "Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network"
  ☆33Updated last year
• WenjieWWJ / DecRS
  Deconfounded Recommendation for Alleviating Bias Amplification
  ☆46Updated 4 years ago
• johnny12150 / NISER
  Using SR-GNN to implement "NISER: Normalized Item and Session Representations to Handle Popularity Bias"
  ☆25Updated 4 years ago
• MengtingWan / marketBias
  data and source code for "Addressing Marketing Bias in Product Recommendations" WSDM'20
  ☆42Updated 5 years ago
• RUCAIBox / SHPJF
  [DASFAA22] Official PyTorch implementation for "Leveraging Search History for Improving Person-Job Fit".
  ☆11Updated 3 years ago
• blindsubmission1 / PEAGNN
  Official code for the paper "Leveraging the Metapath and Entity Aware Subgraphs for Recommendation"
  ☆40Updated 3 years ago
• tal-ai / Recommender-Systems-with-Heterogeneous-Side-Information
  The source code for "Recommender Systems with Heterogeneous Side Information", WWW 2019.
  ☆28Updated 5 years ago
• danyang-liu / KRED
  This is the source code for paper: KRED: Knowledge-Aware Document Representation for NewsRecommendations
  ☆46Updated 4 years ago
• lizli502 / SSE-PT
  ☆60Updated last year
• PengjieRen / RepeatNet-pytorch
  This is a pytorch (>=1.3.0) implementation of RepeatNet
  ☆36Updated 5 years ago
• Wang-Shuo / GraphRec_PyTorch
  A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)
  ☆196Updated last year
• shengyp / deep_matching
  ☆10Updated 4 years ago
• PreferredAI / bi-vae
  Code for the paper "Bilateral Variational Autoencoder for Collaborative Filtering", WSDM'21
  ☆34Updated 2 years ago
• siyongxu / GNUD
  Source code for ACL 2020 paper “Graph Neural News Recommendation with Unsupervised Preference Disentanglement”
  ☆61Updated 4 years ago
• explainablerecsys / recsys2022
  RecSys 2022 Tutorial Hands on Explainable Recommender Systems with Knowledge Graphs
  ☆51Updated last year
• CRIPAC-DIG / A-PGNN
  [TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recomm…
  ☆83Updated last year
• DyGRec / ASReP
  Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.
  ☆51Updated 3 years ago
• psywaves / EVCF
  Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms
  ☆46Updated 5 years ago
• ahmedrashed-ml / GraphRec
  (GraphRec) Attribute-aware non-linear co-embeddings of graph features, RecSys 2019
  ☆12Updated 5 years ago
• zyang1580 / SML
  This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.
  ☆46Updated 2 years ago
• yoongi0428 / RecSys_PyTorch
  PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.
  ☆146Updated 4 years ago
• chenchongthu / ENSFM
  This is our implementation of ENSFM: Efficient Non-Sampling Factorization Machines (WWW 2020)
  ☆35Updated 5 years ago
• beta-team / beta-recsys
  Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems
  ☆167Updated 3 months ago
• terwilligers / knowledge-graph-recommender
  Comps replication repository on knowledge graphs for recommendation
  ☆26Updated 5 years ago
• weiyinwei / CLCRec
  Contrastive Learning for Cold-start Recommendation
  ☆69Updated 3 years ago
• lileipisces / PETER
  ACL'21 Oral, Personalized Transformer for Explainable Recommendation
  ☆95Updated 8 months ago
• jihoo-kim / RecSys-Papers-from-SIGIR-2020
  Full papers related to the Recommender System from SIGIR 2020
  ☆21Updated 5 years ago
• fajieyuan / recommendation_transfer_learning_pretraining
  Pre-training and Transfer learning papers for recommendation
  ☆18Updated last year
• fajieyuan / recommendation_dataset_pretraining
  DataSets links for recommender systems research, in particular for transfer learning, user representation, pre-training,lifelong learning…
  ☆16Updated last year
• XinyuGuan01 / Attentive-Aspect-based-Recommendation-Model
  ☆31Updated 5 years ago