YuWang-1024 / ContrastVAELinks
☆37Updated last year
Alternatives and similar repositories for ContrastVAE
Users that are interested in ContrastVAE are comparing it to the libraries listed below
Sorting:
- Code for the WWW'21 paper "HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering"☆51Updated 3 years ago
- ☆19Updated 2 years ago
- Graph Trend Filtering Networks for Recommendations, SIGIR'2022☆25Updated 3 years ago
- Contrastive Graph Structure Learning via Information Bottleneck for Recommendation☆29Updated 2 years ago
- Official code for paper "Attention Calibration for Transformer-based Sequential Recommendation"☆16Updated last year
- MATN, SIGIR 2020☆21Updated 2 years ago
- The official source code for "GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignm…☆25Updated 2 years ago
- Official code of "Invariant Collaborative Filtering to Popularity Distribution Shift" (2023 WWW)☆20Updated last year
- SHT, KDD 2022☆52Updated 2 years ago
- The implement of papar "Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization"☆18Updated 3 years ago
- [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"☆42Updated 2 years ago
- Contrastive Learning with Model Augmentation☆17Updated 2 years ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆60Updated 2 years ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆80Updated 3 years ago
- PyTorch implementation of Interactive Hypergraph Neural Network for Personalized Product Search (IHGNN)☆24Updated 3 years ago
- The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation☆47Updated 7 months ago
- [WWW 2023] Official code of "Adap-$\tau$: Adaptively Modulating Embedding Magnitude for Recommendation"☆29Updated last year
- [ECIR 2024] Official repository for the paper titled "Self Contrastive Learning for Session-based Recommendation"☆21Updated last year
- ☆23Updated 2 years ago
- [CIKM 2022]Contrastive Cross-Domain Sequential Recommendation☆36Updated 2 years ago
- Cafe: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation☆32Updated 4 years ago
- Official PyTorch implementation Source code for MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation, acce…☆36Updated last year
- Bootstrapping User and Item Representations for One-Class Collaborative Filtering☆28Updated 3 years ago
- The source code for WWW 2022 Paper "Filter-enhanced MLP is All You Need for Sequential Recommendation"☆45Updated 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 2 years ago
- Official code of "Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering" (2022 NeurIPS)☆22Updated 2 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆35Updated 3 years ago
- ☆13Updated 2 years ago
- ☆15Updated 2 years ago
- [ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck☆31Updated 2 years ago