THUwangcy / DirectAULinks
KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering
☆68Updated 2 years ago
Alternatives and similar repositories for DirectAU
Users that are interested in DirectAU are comparing it to the libraries listed below
Sorting:
- SGL PyTorch version☆110Updated 3 years ago
- WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"☆59Updated 3 years ago
- Contrastive Self-supervised Sequential Recommendation with Robust Augmentation☆82Updated 2 years ago
- This is a library built upon RecBole for cross-domain recommendation algorithms☆104Updated last year
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆40Updated 3 years ago
- [WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".☆123Updated 2 years ago
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆108Updated 3 years ago
- ☆107Updated 3 months ago
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆36Updated last year
- [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"☆59Updated 2 years ago
- Session-based Recommendation☆65Updated last year
- ☆56Updated 3 years ago
- The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation☆47Updated 9 months ago
- Disentangled Self-Supervision in Sequential Recommenders☆31Updated 4 years ago
- [KDD'22] Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation☆67Updated 2 years ago
- [SIGIR'22] Official PyTorch implementation for "CORE: Simple and Effective Session-based Recommendation within Consistent Representation …☆37Updated 2 years ago
- [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"☆61Updated 2 years ago
- [ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"☆48Updated last year
- Official implementation of SIGIR'2021 paper: "Sequential Recommendation with Graph Neural Networks".☆85Updated 2 years ago
- [WWW'23] PyTorch implementation for "Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders".☆81Updated 2 years ago
- [CIKM 2022]Contrastive Cross-Domain Sequential Recommendation☆36Updated 2 years ago
- https://github.com/JiachengLi1995/TiSASRec in PyTorch☆95Updated 4 months ago
- The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".☆34Updated last year
- MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021☆98Updated 3 years ago
- [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".☆17Updated 2 years ago
- Efficient and extensible GNNs enhanced recommender library based on RecBole.☆184Updated last year
- ☆173Updated 3 years ago
- HCCF, SIGIR 2022☆99Updated 2 years ago
- Codes for CIKM'21 paper 'Self-Supervised Graph Co-Training for Session-based Recommendation'.☆52Updated 2 years ago
- Replication of the paper "Text Is All You Need: Learning Language Representations for Sequential Recommendation" on KDD'23.☆119Updated last year