YuWang-1024 / ContrastVAELinks
☆37Updated 2 years ago
Alternatives and similar repositories for ContrastVAE
Users that are interested in ContrastVAE are comparing it to the libraries listed below
Sorting:
- Adaptive Denoising Training (ADT) for Recommendation.☆71Updated 3 years ago
- Code for the WWW'21 paper "HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering"☆51Updated 3 years ago
- Official PyTorch implementation Source code for MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation, acce…☆36Updated last year
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆46Updated 4 years ago
- Official code of "Invariant Collaborative Filtering to Popularity Distribution Shift" (2023 WWW)☆20Updated last year
- MATN, SIGIR 2020☆21Updated 3 years ago
- [WWW 2023] Official code of "Adap-$\tau$: Adaptively Modulating Embedding Magnitude for Recommendation"☆29Updated last year
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 3 years ago
- Contrastive Learning with Model Augmentation☆18Updated 2 years ago
- [ECIR 2024] Official repository for the paper titled "Self Contrastive Learning for Session-based Recommendation"☆21Updated last year
- Graph Trend Filtering Networks for Recommendations, SIGIR'2022☆26Updated 3 years ago
- Contrastive Graph Structure Learning via Information Bottleneck for Recommendation☆29Updated 2 years ago
- ☆19Updated 2 years ago
- Official source code for AAAI 2023 paper: Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation☆64Updated 2 months ago
- PyTorch implementation of Interactive Hypergraph Neural Network for Personalized Product Search (IHGNN)☆24Updated 3 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆81Updated 3 years ago
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆51Updated 3 years ago
- SHT, KDD 2022☆52Updated 2 years ago
- ☆24Updated 3 years ago
- Cafe: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation☆32Updated 4 years ago
- Contrastive Self-supervised Sequential Recommendation with Robust Augmentation☆82Updated 2 years ago
- WSDM2022 Challenge - Large scale temporal graph link prediction☆38Updated 3 years ago
- The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation☆47Updated 8 months ago
- Code for CIKM 2021 best short paper nomination "Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation" https…☆16Updated 4 years ago
- Official code of "Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering" (2022 NeurIPS)☆22Updated 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
- [ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck☆33Updated 2 years ago
- Contrastive Learning for Cold-start Recommendation☆69Updated 3 years ago
- Disentangled Self-Supervision in Sequential Recommenders☆30Updated 3 years ago