mamuyang / MIFNLinks
This is the our implementation for the paper: Exploring Mixed Information Flow for Cross-domain Sequential Recommendations
☆12Updated 5 years ago
Alternatives and similar repositories for MIFN
Users that are interested in MIFN are comparing it to the libraries listed below
Sorting:
- [CIKM 2022]Contrastive Cross-Domain Sequential Recommendation☆36Updated 2 years ago
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆40Updated 3 years ago
- The source code and dataset for the RecGURU paper (WSDM 2022)☆29Updated 3 years ago
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆36Updated last year
- Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks☆27Updated 4 years ago
- WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"☆59Updated 3 years ago
- The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation☆47Updated 10 months ago
- [ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck☆34Updated 2 years ago
- The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".☆34Updated last year
- This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), whi…☆138Updated 2 years ago
- PyTorch Code for Adversarial and Contrastive AutoEncoder for Sequential Recommendation.☆33Updated 4 years ago
- ☆107Updated 3 months ago
- This is the model in "A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation" (IJCAI2020). GA-DTCDR is an opti…☆73Updated 2 years ago
- [WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".☆123Updated 2 years ago
- [SIGIR'22] Official PyTorch implementation for "Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering".☆17Updated 2 years ago
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆109Updated 3 years ago
- The implement of papar "Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization"☆18Updated 4 years ago
- SGL PyTorch version☆110Updated 3 years ago
- Disentangled Self-Supervision in Sequential Recommenders☆31Updated 4 years ago
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆68Updated 2 years ago
- A python vision code of Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations☆28Updated 2 years ago
- MB-STR SIGIR22☆40Updated 2 years ago
- Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021☆50Updated 4 years ago
- This is our implementation of GHCF: Graph Heterogeneous Collaborative Filtering (AAAI 2021)☆69Updated 4 years ago
- ☆173Updated 3 years ago
- [WSDM 2023]Towards Universal Cross-Domain Recommendation☆22Updated 2 years ago
- MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021☆98Updated 3 years ago
- This is a library built upon RecBole for cross-domain recommendation algorithms☆104Updated last year
- SIGIR 2022 Paper: Less is More: Reweighting Important Spectral Graph Features for Recommendation☆34Updated last year
- 🔨 跨域序列推荐（Cross-Domain Sequential Recommendation）的算法工具箱，旨在提供序列推荐、跨域推荐、跨域序列方法的baseline实现。目前本工具箱已包括TiSASRec、CoNet、PINet、MIFN这四种方法的实现。☆23Updated 2 years ago