yaochenzhu / Deep-DeconfLinks
Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)
☆27Updated 2 years ago
Alternatives and similar repositories for Deep-Deconf
Users that are interested in Deep-Deconf are comparing it to the libraries listed below
Sorting:
- Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)☆19Updated last year
- PyTorch implementation of Interactive Hypergraph Neural Network for Personalized Product Search (IHGNN)☆24Updated 3 years ago
- Deconfounded Recommendation for Alleviating Bias Amplification☆46Updated 4 years ago
- [WWW 2023] Official code of "Adap-$\tau$: Adaptively Modulating Embedding Magnitude for Recommendation"☆29Updated last year
- Explainable recommendation via interpretable feature mapping☆19Updated 5 years ago
- ruizhang-ai / HIRS-Detecting_Arbitrary_Order_Beneficial_Feature_Interactions_for_Recommender_SystemsDetecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems, KDD 2022☆25Updated 3 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆43Updated 3 years ago
- This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"☆15Updated 4 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆74Updated 3 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆25Updated 2 years ago
- The implementation for our paper "Slate-Aware Ranking for Recommendation" accepted by WSDM.23☆16Updated 2 years ago
- CIKM'20, Generate Neural Template Explanations for Recommendation☆23Updated 7 months ago
- ☆28Updated 2 years ago
- WSDM2022 Challenge - Large scale temporal graph link prediction☆38Updated 3 years ago
- Official code implementation for ICDE 23 paper MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation☆36Updated last year
- This is the source code of PFRec☆14Updated 2 years ago
- ☆12Updated last year
- AutoLossGen: Automatic Loss Function Generation for Recommender Systems☆22Updated 3 years ago
- Official code of "Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering" (2022 NeurIPS)☆22Updated 2 years ago
- (TKDE'22) Official codes of "Collaborative variational bandwidth auto-encoder (VBAE) for recommender systems".☆18Updated 3 years ago
- ☆24Updated 3 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 3 years ago
- Using SR-GNN to implement "NISER: Normalized Item and Session Representations to Handle Popularity Bias"☆25Updated 4 years ago
- the 1st place of WSDM 2022 Challenge (Temporal Link Prediction)☆13Updated 2 years ago
- The dataset for paper "Why Do We Click: Visual Impression-aware News Recommendation", ACM MM 2021☆14Updated 3 years ago
- The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"☆31Updated 2 years ago
- The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation☆47Updated 10 months ago
- A curated list of awesome graph & self-supervised-learning-based recommendation.☆48Updated 3 years ago
- Code for CIKM 2021 best short paper nomination "Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation" https…☆16Updated 4 years ago
- (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"☆30Updated 2 years ago