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:
- PyTorch implementation of Interactive Hypergraph Neural Network for Personalized Product Search (IHGNN)☆24Updated 3 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆43Updated 3 years ago
- [WWW 2023] Official code of "Adap-$\tau$: Adaptively Modulating Embedding Magnitude for Recommendation"☆29Updated last year
- Deconfounded Recommendation for Alleviating Bias Amplification☆46Updated 4 years ago
- The dataset for paper "Why Do We Click: Visual Impression-aware News Recommendation", ACM MM 2021☆14Updated 3 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
- Adaptive Denoising Training (ADT) for Recommendation.☆74Updated 3 years ago
- AutoLossGen: Automatic Loss Function Generation for Recommender Systems☆22Updated 3 years ago
- CIKM'20, Generate Neural Template Explanations for Recommendation☆23Updated 8 months ago
- Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)☆19Updated last year
- Explainable recommendation via interpretable feature mapping☆19Updated 5 years ago
- This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"☆15Updated 4 years ago
- ☆28Updated 2 years ago
- WSDM2022 Challenge - Large scale temporal graph link prediction☆38Updated 3 years ago
- Official code of "Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering" (2022 NeurIPS)☆22Updated 2 years ago
- The implementation for our paper "Slate-Aware Ranking for Recommendation" accepted by WSDM.23☆16Updated 2 years ago
- Pre-training and Lifelong learning for User Embedding and Recommender System☆45Updated last year
- Source code of NeurIPS 2021 paper “Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media”☆13Updated 3 years ago
- This is the repository of the NeurIPS 2021 paper "Curriculum Disentangled Recommendation withNoisy Multi-feedback"☆22Updated 3 years ago
- ☆24Updated 3 years ago
- Counterfactual Explainable Recommendation☆49Updated 3 years ago
- Cafe: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation☆34Updated 4 years ago
- (TKDE'22) Official codes of "Collaborative variational bandwidth auto-encoder (VBAE) for recommender systems".☆18Updated 3 years ago
- ☆34Updated 4 years ago
- The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation☆46Updated 11 months ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year
- A curated list of awesome graph & self-supervised-learning-based recommendation.☆48Updated 3 years ago
- Using SR-GNN to implement "NISER: Normalized Item and Session Representations to Handle Popularity Bias"☆25Updated 4 years ago
- ☆10Updated 2 years ago
- Implementation of variational autoencoders for collaborative filtering in PyTorch☆25Updated 6 years ago