cjx96 / DisenCDR
[SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation
☆38Updated 3 years ago
Alternatives and similar repositories for DisenCDR:
Users that are interested in DisenCDR are comparing it to the libraries listed below
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆36Updated 8 months ago
- [CIKM 2022]Contrastive Cross-Domain Sequential Recommendation☆36Updated 2 years ago
- [WSDM 2023]Towards Universal Cross-Domain Recommendation☆21Updated 2 years ago
- WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"☆57Updated 3 years ago
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆67Updated 2 years ago
- [ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck☆31Updated 2 years ago
- The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".☆29Updated 8 months ago
- The source code and dataset for the RecGURU paper (WSDM 2022)☆28Updated 2 years ago
- A python vision code of Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations☆28Updated last year
- Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks☆26Updated 4 years ago
- cross-domain recommendation,transfer learning,pre-training,self-supervise learning papers and datasets☆43Updated last year
- The source code is for the paper: “Triple Sequence Learning for Cross-domain Recommendation” accepted in TOIS by Haokai Ma, Ruobing Xie, …☆11Updated last year
- SGL PyTorch version☆105Updated 2 years ago
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆101Updated 3 years ago
- The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation☆47Updated 5 months ago
- SIGIR 2023 "Graph Collaborative Signals Denoising and Augmentation for Recommendation"☆17Updated last year
- [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"☆59Updated last year
- Implementation of the paper "Contrastive Learning with Bidirectional Transformers for Sequential Recommendation".☆26Updated 2 years ago
- The implement of papar "Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization"☆18Updated 3 years ago
- [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".☆16Updated 2 years ago
- This is a library built upon RecBole for cross-domain recommendation algorithms☆99Updated last year
- [ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"☆46Updated 11 months ago
- Contrastive Self-supervised Sequential Recommendation with Robust Augmentation☆82Updated 2 years ago
- [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"☆62Updated last year
- ☆54Updated 2 years ago
- Implementation of "Pre-training Graph Transformer with Multimodal Side Information for Recommendation"☆16Updated 3 years ago
- ☆29Updated 11 months ago
- The code of 'Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation', WWW-23☆19Updated last year
- This is a pytorch implementation of our paper: "Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation"☆28Updated last year
- Pytorch implementation for "Bootstrap Latent Representations for Multi-modal Recommendation"-WWW'23☆56Updated last year